Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features. - Qi Dou 001; Hao Chen 011; Lequan Yu; Lin Shi 001; Defeng Wang; Vincent C. T. Mok; Pheng-Ann Heng (EMBC, 2015)

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. - Hao Chen 011; Lequan Yu; Qi Dou 001; Lin Shi 001; Vincent C. T. Mok; Pheng-Ann Heng (ISBI, 2015)

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. - Hao Chen 011; Qi Dou 001; Dong Ni 001; Jie-Zhi Cheng; Jing Qin 001; Shengli Li 001; Pheng-Ann Heng (MICCAI (1), 2015)

Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model. - Yuhong Li; Qi Dou 001; Jinze Yu; Fucang Jia; Jing Qin 001; Pheng-Ann Heng (PRNI, 2015)

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. - Hao Chen 011; Qi Dou 001; Xi Wang 013; Jing Qin 001; Pheng-Ann Heng (AAAI, 2016)

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. - Hao Chen 011; Qi Dou 001; Xi Wang 013; Jing Qin 001; Jack Chun Yiu Cheng; Pheng-Ann Heng (MIAR, 2016)

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. - Qi Dou 001; Hao Chen 011; Yueming Jin; Lequan Yu; Jing Qin 001; Pheng-Ann Heng (MICCAI (2), 2016)

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. - Xiaomeng Li 001; Qi Dou 001; Hao Chen 011; Chi-Wing Fu; Pheng-Ann Heng (CSI@MICCAI, 2016)

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation. - Hao Chen 011; Qi Dou 001; Lequan Yu; Pheng-Ann Heng (CoRR, 2016)

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (CoRR, 2016)

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. - Qi Dou 001; Hao Chen 011; Lequan Yu; Lei Zhao 003; Jing Qin 001; Defeng Wang; Vincent C. T. Mok; Lin Shi 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2016)

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. - Hao Chen 011; Qi Dou 001; Lequan Yu; Jing Qin 001; Lei Zhao 003; Vincent C. T. Mok; Defeng Wang; Lin Shi 001; Pheng-Ann Heng (Deep Learning for Medical Image Analysis, 2017)

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. - Qi Dou 001; Hao Chen 011; Yueming Jin; Huangjing Lin; Jing Qin 001; Pheng-Ann Heng (MICCAI (3), 2017)

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. - Lequan Yu; Jie-Zhi Cheng; Qi Dou 001; Xin Yang 009; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (MICCAI (2), 2017)

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. - Huangjing Lin; Hao Chen 011; Qi Dou 001; Liansheng Wang; Jing Qin 001; Pheng-Ann Heng (CoRR, 2017)

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. - Xiaomeng Li 001; Hao Chen 011; Xiaojuan Qi 001; Qi Dou 001; Chi-Wing Fu; Pheng-Ann Heng (CoRR, 2017)

DCAN: Deep contour-aware networks for object instance segmentation from histology images. - Hao Chen 011; Xiaojuan Qi 001; Lequan Yu; Qi Dou 001; Jing Qin 001; Pheng-Ann Heng (Medical Image Anal., 2017)

3D deeply supervised network for automated segmentation of volumetric medical images. - Qi Dou 001; Lequan Yu; Hao Chen 011; Yueming Jin; Xin Yang 009; Jing Qin 001; Pheng-Ann Heng (Medical Image Anal., 2017)

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (Medical Image Anal., 2017)

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. - Guoyan Zheng; Chengwen Chu; Daniel L. Belavy; Bulat Ibragimov; Robert Korez; Tomaz Vrtovec; Hugo Hutt; Richard M. Everson; Judith Meakin; Isabel Lopez Andrade; Ben Glocker; Hao Chen 011; et al. (Medical Image Anal., 2017)

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. - Qi Dou 001; Hao Chen 011; Lequan Yu; Jing Qin 001; Pheng-Ann Heng (IEEE Trans. Biomed. Eng., 2017)

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. - Hao Chen 011; Lingyun Wu; Qi Dou 001; Jing Qin 001; Shengli Li 001; Jie-Zhi Cheng; Dong Ni 001; Pheng-Ann Heng (IEEE Trans. Cybern., 2017)

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. - Lequan Yu; Hao Chen 011; Qi Dou 001; Jing Qin 001; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2017)

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. - Lequan Yu; Hao Chen 011; Qi Dou 001; Jing Qin 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2017)

SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. - Yanning Zhou 001; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (AAAI, 2018)

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Pheng-Ann Heng (IJCAI, 2018)

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. - Yi-Jie Huang; Qi Dou 001; Zi-Xian Wang; Li-Zhi Liu; Li-Sheng Wang; Hao Chen 011; Pheng-Ann Heng; Rui-Hua Xu (ISBI, 2018)

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Pheng-Ann Heng (MLMI@MICCAI, 2018)

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. - Lihao Liu; Qi Dou 001; Hao Chen 011; Iyiola E. Olatunji; Jing Qin 001; Pheng-Ann Heng (DLMIA/ML-CDS@MICCAI, 2018)

ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. - Huangjing Lin; Hao Chen 011; Qi Dou 001; Liansheng Wang; Jing Qin 001; Pheng-Ann Heng (WACV, 2018)

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. - Simon Graham; Hao Chen 011; Qi Dou 001; Pheng-Ann Heng; Nasir M. Rajpoot (CoRR, 2018)

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. - Yi-Jie Huang; Qi Dou 001; Zi-Xian Wang; Li-Zhi Liu; Ying Jin; Chao-Feng Li; Lisheng Wang; Hao Chen 011; Rui-Hua Xu (CoRR, 2018)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (CoRR, 2018)

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. - Xiaomeng Li 001; Qi Dou 001; Hao Chen 011; Chi-Wing Fu; Xiaojuan Qi 001; Daniel L. Belavy; Gabriele Armbrecht; Dieter Felsenberg; Guoyan Zheng; Pheng-Ann Heng (Medical Image Anal., 2018)

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. - Hao Chen 011; Qi Dou 001; Lequan Yu; Jing Qin 001; Pheng-Ann Heng (NeuroImage, 2018)

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. - Yueming Jin; Qi Dou 001; Hao Chen 011; Lequan Yu; Jing Qin 001; Chi-Wing Fu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2018)

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. - Xiaomeng Li 001; Hao Chen 011; Xiaojuan Qi 001; Qi Dou 001; Chi-Wing Fu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2018)

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. - Qi Dou 001; Cheng Chen 013; Cheng Ouyang; Hao Chen 011; Pheng-Ann Heng (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (AAAI, 2019)

CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. - Yanning Zhou 001; Omer Fahri Onder; Qi Dou 001; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng (IPMI, 2019)

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. - Cheng Xue; Qi Dou 001; Xueying Shi; Hao Chen 011; Pheng-Ann Heng (ISBI, 2019)

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. - Cheng Chen 013; Qi Dou 001; Yueming Jin; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (MICCAI (3), 2019)

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. - Yueming Jin; Keyun Cheng; Qi Dou 001; Pheng-Ann Heng (MICCAI (5), 2019)

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network. - Zhiyu Liu; Wenhao Jiang; Kit-Hang Lee; Yat-Long Lo; Yui-Lun Ng; Qi Dou 001; Varut Vardhanabhuti; Ka-Wai Kwok (AIRT@MICCAI, 2019)

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. - Luyang Luo; Hao Chen 011; Xi Wang 013; Qi Dou 001; Huangjing Lin; Juan Zhou; Gongjie Li; Pheng-Ann Heng (MICCAI (4), 2019)

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. - Xueying Shi; Qi Dou 001; Cheng Xue; Jing Qin 001; Hao Chen 011; Pheng-Ann Heng (MLMI@MICCAI, 2019)

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. - Yanning Zhou 001; Hao Chen 011; Jiaqi Xu; Qi Dou 001; Pheng-Ann Heng (MICCAI (1), 2019)

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. - Martin Zlocha; Qi Dou 001; Ben Glocker (MICCAI (6), 2019)

Domain Generalization via Model-Agnostic Learning of Semantic Features. - Qi Dou 001; Daniel Coelho de Castro; Konstantinos Kamnitsas; Ben Glocker (NeurIPS, 2019)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (IEEE Access, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training. - Wenhao Jiang; Zhiyu Liu; Kit-Hang Lee; Shihui Chen; Yui-Lun Ng; Qi Dou 001; Hing-Chiu Chang; Ka-Wai Kwok (CoRR, 2019)

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. - Ben Glocker; Robert Robinson; Daniel Coelho de Castro; Qi Dou 001; Ender Konukoglu (CoRR, 2019)

Webthetics: Quantifying webpage aesthetics with deep learning. - Qi Dou 001; Xianjun Sam Zheng; Tongfang Sun; Pheng-Ann Heng (Int. J. Hum. Comput. Stud., 2019)

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. - Simon Graham; Hao Chen 011; Jevgenij Gamper; Qi Dou 001; Pheng-Ann Heng; David R. J. Snead; Yee-Wah Tsang; Nasir M. Rajpoot (Medical Image Anal., 2019)

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. - Huangjing Lin; Hao Chen 011; Simon Graham; Qi Dou 001; Nasir M. Rajpoot; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2019)

Harmonizing Transferability and Discriminability for Adapting Object Detectors. - Chaoqi Chen; Zebiao Zheng; Xinghao Ding; Yue Huang 001; Qi Dou 001 (CVPR, 2020)

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. - Xiaojie Gao; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (ICRA, 2020)

A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. - Bo Lu; Wei Chen 068; Yueming Jin; Dandan Zhang; Qi Dou 001; Henry Kar Hang Chu; Pheng-Ann Heng; Yun-Hui Liu 001 (IROS, 2020)

Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. - Quande Liu; Qi Dou 001; Pheng-Ann Heng (MICCAI (2), 2020)

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. - Robert Robinson; Qi Dou 001; Daniel Coelho de Castro; Konstantinos Kamnitsas; Marius de Groot; Ronald M. Summers; Daniel Rueckert; Ben Glocker (MICCAI (7), 2020)

Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. - Youyi Song; Lei Zhu 003; Baiying Lei; Bin Sheng 001; Qi Dou 001; Jing Qin 001; Kup-Sze Choi (MICCAI (4), 2020)

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. - Cheng Xue; Qiao Deng; Xiaomeng Li 001; Qi Dou 001; Pheng-Ann Heng (MICCAI (6), 2020)

Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. - Zixu Zhao; Yueming Jin; Xiaojie Gao; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2020)

Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread. - Xiaoyang Zou; Qi Dou 001 (MICCAI (Challenges), 2020)

An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation. - Ping Liu; Qi Dou 001; Qiong Wang 001; Pheng-Ann Heng (IEEE Access, 2020)

LRTD: long-range temporal dependency based active learning for surgical workflow recognition. - Xueying Shi; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (Int. J. Comput. Assist. Radiol. Surg., 2020)

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. - Youyi Song; Lei Zhu 003; Baiying Lei; Bin Sheng 001; Qi Dou 001; Jing Qin 001; Kup-Sze Choi (CoRR, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong; et al. (CoRR, 2020)

Multi-task recurrent convolutional network with correlation loss for surgical video analysis. - Yueming Jin; Huaxia Li; Qi Dou 001; Hao Chen 011; Jing Qin 001; Chi-Wing Fu; Pheng-Ann Heng (Medical Image Anal., 2020)

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. - Xi Wang 013; Hao Chen 011; Caixia Gan; Huangjing Lin; Qi Dou 001; Efstratios Tsougenis; Qitao Huang; Muyan Cai; Pheng-Ann Heng (IEEE Trans. Cybern., 2020)

Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification. - Zhao Wang 006; Quande Liu; Qi Dou 001 (IEEE J. Biomed. Health Informatics, 2020)

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Unpaired Multi-Modal Segmentation via Knowledge Distillation. - Qi Dou 001; Quande Liu; Pheng-Ann Heng; Ben Glocker (IEEE Trans. Medical Imaging, 2020)

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. - Lihao Liu; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. - Quande Liu; Qi Dou 001; Lequan Yu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. - Quande Liu; Lequan Yu; Luyang Luo; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. - Youtan Yin; Hongzheng Yang; Quande Liu; Meirui Jiang; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (BrainLes@MICCAI (2), 2021)

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. - Quande Liu; Cheng Chen 013; Jing Qin 001; Qi Dou 001; Pheng-Ann Heng (CVPR, 2021)

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation. - Kai Chen 028; Qi Dou 001 (ICCV, 2021)

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. - Xiaoxiao Li; Meirui Jiang; Xiaofei Zhang; Michael Kamp; Qi Dou 001 (ICLR, 2021)

Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception. - Bin Li 082; Bo Lu; Yiang Lu; Qi Dou 001; Yun-Hui Liu 001 (ICRA, 2021)

Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. - Yonghao Long 001; Jie Ying Wu; Bo Lu; Yueming Jin; Mathias Unberath; Yun-Hui Liu 001; Pheng-Ann Heng; Qi Dou 001 (ICRA, 2021)

One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video. - Zixu Zhao; Yueming Jin; Bo Lu; Chi-Fai Ng; Qi Dou 001; Yun-Hui Liu 001; Pheng-Ann Heng (ICRA, 2021)

Future Frame Prediction for Robot-Assisted Surgery. - Xiaojie Gao; Yueming Jin; Zixu Zhao; Qi Dou 001; Pheng-Ann Heng (IPMI, 2021)

Accurate Grid Keypoint Learning for Efficient Video Prediction. - Xiaojie Gao; Yueming Jin; Qi Dou 001; Chi-Wing Fu; Pheng-Ann Heng (IROS, 2021)

Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. - Xueying Shi; Yueming Jin; Qi Dou 001; Jing Qin 001; Pheng-Ann Heng (IROS, 2021)

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks. - Jiaze Wang; Kai Chen 028; Qi Dou 001 (IROS, 2021)

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. - Jiaqi Xu; Bin Li 082; Bo Lu; Yun-Hui Liu 001; Qi Dou 001; Pheng-Ann Heng (IROS, 2021)

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. - Cheng Chen 013; Quande Liu; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (MICCAI (5), 2021)

Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. - Xiaojie Gao; Yueming Jin; Yonghao Long 001; Qi Dou 001; Pheng-Ann Heng (MICCAI (4), 2021)

Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. - Quande Liu; Hongzheng Yang; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2021)

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception. - Yonghao Long 001; Zhaoshuo Li; Chi Hang Yee; Chi-Fai Ng; Russell H. Taylor; Mathias Unberath; Qi Dou 001 (MICCAI (4), 2021)

Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation. - Xiaowen Kong; Yueming Jin; Qi Dou 001; Ziyi Wang 006; Zerui Wang; Bo Lu; Erbao Dong; Yun-Hui Liu 001; Dong Sun 001 (Int. J. Comput. Assist. Radiol. Surg., 2021)

Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword. - Cristian A. Linte; Elvis C. S. Chen; Simon Drouin; Marta Kersten-Oertel; Ziv Yaniv; Daniel A. Hashimoto; Qi Dou 001; Xiongbiao Luo; A. Jonathan McLeod; Duygu Sarikaya (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

MIcro-surgical anastomose workflow recognition challenge report. - Arnaud Huaulmé; Duygu Sarikaya; Kévin Le Mut; Fabien Despinoy; Yonghao Long 001; Qi Dou 001; Chin-Boon Chng; Wenjun Lin; Satoshi Kondo; Laura Bravo Sánchez; Pablo Arbeláez; Wolfgang Reiter; et al. (Comput. Methods Programs Biomed., 2021)

MIcro-Surgical Anastomose Workflow recognition challenge report. - Arnaud Huaulmé; Duygu Sarikaya; Kévin Le Mut; Fabien Despinoy; Yonghao Long 001; Qi Dou 001; Chin-Boon Chng; Wenjun Lin; Satoshi Kondo; Laura Bravo Sánchez; Pablo Arbeláez; Wolfgang Reiter; et al. (CoRR, 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery. - Ruofeng Wei; Bin Li 082; Hangjie Mo; Bo Lu; Yonghao Long 001; Bohan Yang 005; Qi Dou 001; Yunhui Liu 001; Dong Sun 001 (CoRR, 2021)

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. - Meirui Jiang; Xiaofei Zhang; Michael Kamp; Xiaoxiao Li; Qi Dou 001 (CoRR, 2021)

Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition. - Xueying Shi; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (Medical Image Anal., 2021)

Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos. - Zixu Zhao; Yueming Jin; Junming Chen; Bo Lu; Chi-Fai Ng; Yun-Hui Liu 001; Qi Dou 001; Pheng-Ann Heng (Medical Image Anal., 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study. - Hongbin Lin; Qian Gao; Xiangyu Chu; Qi Dou 001; Anton Deguet; Peter Kazanzides; K. W. Samuel Au (IEEE Robotics Autom. Lett., 2021)

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. - Yi-Jie Huang; Qi Dou 001; Zi-Xian Wang; Li-Zhi Liu; Ying Jin; Chao-Feng Li; Lisheng Wang; Hao Chen 011; Rui-Hua Xu (IEEE Trans. Cybern., 2021)

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation. - Caizi Li; Li Dong; Qi Dou 001; Fan Lin; Kebao Zhang; Zuxin Feng; Weixin Si; Xuesong Deng; Zhe Deng; Pheng-Ann Heng (IEEE J. Biomed. Health Informatics, 2021)

Temporal Memory Relation Network for Workflow Recognition From Surgical Video. - Yueming Jin; Yonghao Long 001; Cheng Chen 013; Zixu Zhao; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. - Meirui Jiang; Zirui Wang; Qi Dou 001 (AAAI, 2022)

Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. - Quande Liu; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (AAAI, 2022)

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. - Meirui Jiang; Hongzheng Yang; Xiaofan Zhang 002; Shaoting Zhang 001; Qi Dou 001 (BrainLes@MICCAI (2), 2022)

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. - Guangyuan Li; Jun Lv; Yapeng Tian; Qi Dou 001; Chengyan Wang; Chenliang Xu; Jing Qin 001 (CVPR, 2022)

Tackling Long-Tailed Category Distribution Under Domain Shifts. - Xiao Gu 003; Yao Guo 002; Zeju Li; Jianing Qiu; Qi Dou 001; Yuxuan Liu; Benny Lo; Guang-Zhong Yang (ECCV (23), 2022)

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking. - Kai Chen 028; Rui Cao; Stephen James; Yichuan Li 002; Yun-Hui Liu 001; Pieter Abbeel; Qi Dou 001 (ECCV (39), 2022)

Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. - Nan Lu; Zhao Wang 006; Xiaoxiao Li; Gang Niu 001; Qi Dou 001; Masashi Sugiyama (ICLR, 2022)

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. - Yidan Feng; Biqi Yang; Xianzhi Li; Chi-Wing Fu; Rui Cao; Kai Chen 028; Qi Dou 001; Mingqiang Wei; Yun-Hui Liu 001; Pheng-Ann Heng (ICRA, 2022)

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. - Bin Li 082; Ruofeng Wei; Jiaqi Xu; Bo Lu; Chi Hang Yee; Chi-Fai Ng; Pheng-Ann Heng; Qi Dou 001; Yun-Hui Liu 001 (ICRA, 2022)

Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction. - Ruofeng Wei; Bin Li 082; Hangjie Mo; Fangxun Zhong; Yonghao Long 001; Qi Dou 001; Yun-Hui Liu 001; Dong Sun 001 (IROS, 2022)

SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. - Biqi Yang; Xiaojie Gao; Kai Chen 028; Rui Cao; Yidan Feng; Xianzhi Li; Qi Dou 001; Chi-Wing Fu; Yun-Hui Liu 001; Pheng-Ann Heng (IROS, 2022)

Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. - Yang Yu 070; Zixu Zhao; Yueming Jin; Guangyong Chen; Qi Dou 001; Pheng-Ann Heng (IROS, 2022)

Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT. - Wenao Ma; Shuang Zheng; Lei Zhang; Huimao Zhang; Qi Dou 001 (ISBI, 2022)

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. - Yonghao Long 001; Jianfeng Cao; Anton Deguet; Russell H. Taylor; Qi Dou 001 (ISMR, 2022)

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. - Meirui Jiang; Hongzheng Yang; Xiaoxiao Li; Quande Liu; Pheng-Ann Heng; Qi Dou 001 (MICCAI (3), 2022)

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. - Jinpeng Li 004; Guangyong Chen; Hangyu Mao; Danruo Deng; Dong Li 016; Jianye Hao; Qi Dou 001; Pheng-Ann Heng (MICCAI (3), 2022)

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. - Guangyuan Li; Jun Lyu; Chengyan Wang; Qi Dou 001; Jing Qin 001 (MICCAI (6), 2022)

DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. - Jun Lyu; Bin Sui; Chengyan Wang; Yapeng Tian; Qi Dou 001; Jing Qin 001 (MICCAI (6), 2022)

Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. - Wenao Ma; Cheng Chen 013; Shuang Zheng; Jing Qin 001; Huimao Zhang; Qi Dou 001 (MICCAI (3), 2022)

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery. - Yuehao Wang; Yonghao Long 001; Siu Hin Fan; Qi Dou 001 (MICCAI (8), 2022)

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy. - Ziyi Wang 006; Bo Lu; Yonghao Long 001; Fangxun Zhong; Tak Hong Cheung; Qi Dou 001; Yunhui Liu 001 (MICCAI (8), 2022)

Speech-Vision Based Multi-Modal AI Control of a Magnetic Anchored and Actuated Endoscope. - Jixiu Li; Yisen Huang; Wing Yin Ng; Truman Cheng; Xixin Wu; Qi Dou 001; Helen Meng; Pheng-Ann Heng; Yunhui Liu 001; Shannon Melissa Chan; David Navarro-Alarcon; Calvin Sze Hang Ng; et al. (ROBIO, 2022)

Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation. - Shizhan Gong; Weitao Lu; Jize Xie; Xiaofan Zhang 002; Shaoting Zhang 001; Qi Dou 001 (STACOM@MICCAI, 2022)

Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis. - Yueming Jin; Yonghao Long 001; Xiaojie Gao; Danail Stoyanov; Qi Dou 001; Pheng-Ann Heng (Int. J. Comput. Assist. Radiol. Surg., 2022)

Special issue on 2021 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword. - Cristian A. Linte; Elvis C. S. Chen; Qi Dou 001; Simon Drouin; Marta Kersten-Oertel; A. Jonathan McLeod; Duygu Sarikaya; Ziv Yaniv (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (CoRR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments. - Yiang Lu; Wei Chen 068; Bo Lu; Jianshu Zhou; Zhi Chen 020; Qi Dou 001; Yun-Hui Liu 001 (CoRR, 2022)

Unsupervised feature disentanglement for video retrieval in minimally invasive surgery. - Ziyi Wang 006; Bo Lu; Xiaojie Gao; Yueming Jin; Zerui Wang; Tak Hong Cheung; Pheng-Ann Heng; Qi Dou 001; Yunhui Liu 001 (Medical Image Anal., 2022)

Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning. - Lidong Yang; Jialin Jiang; Xiaojie Gao; Qinglong Wang; Qi Dou 001; Li Zhang 010 (Nat. Mach. Intell., 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. - Xianzhi Li; Rui Cao; Yidan Feng; Kai Chen 028; Biqi Yang; Chi-Wing Fu; Yichuan Li 002; Qi Dou 001; Yun-Hui Liu 001; Pheng-Ann Heng (IEEE Robotics Autom. Lett., 2022)

Learning Laparoscope Actions via Video Features for Proactive Robotic Field-of-View Control. - Bin Li 082; Bo Lu; Ziyi Wang 006; Fangxun Zhong; Qi Dou 001; Yun-Hui Liu 001 (IEEE Robotics Autom. Lett., 2022)

Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework. - Bo Lu; Bin Li 082; Wei Chen 068; Yueming Jin; Zixu Zhao; Qi Dou 001; Pheng-Ann Heng; Yunhui Liu 001 (IEEE Trans Autom. Sci. Eng., 2022)

Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. - Cheng Chen 013; Qi Dou 001; Yueming Jin; Quande Liu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2022)

Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. - Cheng Xue; Lequan Yu; Pengfei Chen 003; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2022)

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. - Hongzheng Yang; Cheng Chen 013; Meirui Jiang; Quande Liu; Jianfeng Cao; Pheng-Ann Heng; Qi Dou 001 (IEEE Trans. Medical Imaging, 2022)

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization. - Zhao Wang 006; Aoxue Li; Fengwei Zhou; Zhenguo Li; Qi Dou 001 (BMVC, 2023)

Fair Federated Medical Image Segmentation via Client Contribution Estimation. - Meirui Jiang; Holger R. Roth; Wenqi Li 001; Dong Yang 005; Can Zhao 001; Vishwesh Nath; Daguang Xu; Qi Dou 001; Ziyue Xu 001 (CVPR, 2023)

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. - Jiaqi Xu; Xiaowei Hu 001; Lei Zhu 003; Qi Dou 001; Jifeng Dai; Yu Qiao 001; Pheng-Ann Heng (CVPR, 2023)

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. - Jun Zhou; Kai Chen 028; Linlin Xu; Qi Dou 001; Jing Qin 001 (ICCV, 2023)

Two-Stage Grasping: A New Bin Picking Framework for Small Objects. - Hanwen Cao; Jianshu Zhou; Junda Huang; Yichuan Li 002; Ng Cheng Meng; Rui Cao; Qi Dou 001; Yunhui Liu 001 (ICRA, 2023)

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. - Kai Chen 028; Stephen James; Congying Sui; Yun-Hui Liu 001; Pieter Abbeel; Qi Dou 001 (ICRA, 2023)

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot. - Tao Huang; Kai Chen 028; Bin Li 082; Yun-Hui Liu 001; Qi Dou 001 (ICRA, 2023)

Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning. - Yiang Lu; Ruofeng Wei; Bin Li 082; Wei Chen 068; Jianshu Zhou; Qi Dou 001; Dong Sun 001; Yun-Hui Liu 001 (ICRA, 2023)

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. - Wenlong Deng; Yuan Zhong; Qi Dou 001; Xiaoxiao Li (IPMI, 2023)

Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. - Shizhan Gong; Cheng Chen 013; Yuqi Gong; Nga Yan Chan; Wenao Ma; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (IPMI, 2023)

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot. - Tao Huang; Kai Chen 028; Wang Wei; Jianan Li 006; Yonghao Long 001; Qi Dou 001 (IROS, 2023)

End-to-End Learning of Deep Visuomotor Policy for Needle Picking. - Hongbin Lin; Bin Li 082; Xiangyu Chu; Qi Dou 001; Yunhui Liu 001; Kwok Wai Samuel Au (IROS, 2023)

Visual-Kinematics Graph Learning for Procedure-Agnostic Instrument Tip Segmentation in Robotic Surgeries. - Jiaqi Liu; Yonghao Long 001; Kai Chen 028; Cheuk Hei Leung; Zerui Wang; Qi Dou 001 (IROS, 2023)

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. - Minghui Chen; Meirui Jiang; Qi Dou 001; Zehua Wang; Xiaoxiao Li (MICCAI (2), 2023)

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models. - Yuhao Du; Yuncheng Jiang; Shuangyi Tan; Xusheng Wu; Qi Dou 001; Zhen Li 026; Guanbin Li; Xiang Wan (MICCAI (2), 2023)

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. - Meirui Jiang; Yuan Zhong; Anjie Le; Xiaoxiao Li; Qi Dou 001 (MICCAI (2), 2023)

Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (5), 2023)

Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (6), 2023)

Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure. - Jianan Li 006; Yueming Jin; Yueyao Chen; Hon-Chi Yip; Markus Scheppach; Philip Wai Yan Chiu; Yeung Yam; Helen Mei-Ling Meng; Qi Dou 001 (MICCAI (9), 2023)

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. - Wenao Ma; Cheng Chen 013; Jill M. Abrigo; Calvin Hoi-Kwan Mak; Yuqi Gong; Nga Yan Chan; Chu Han; Zaiyi Liu; Qi Dou 001 (MICCAI (5), 2023)

Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train. - Zhao Wang 006; Chang Liu; Shaoting Zhang 001; Qi Dou 001 (MICCAI (9), 2023)

RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes. - Bingchen Gong; Yuehao Wang; Xiaoguang Han 001; Qi Dou 001 (ACM Multimedia, 2023)

Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. - Hongzheng Yang; Cheng Chen 013; Yueyao Chen; Markus Scheppach; Hon-Chi Yip; Qi Dou 001 (NeurIPS, 2023)

SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation. - Bingchen Gong; Yuehao Wang; Xiaoguang Han 001; Qi Dou 001 (SIGGRAPH Asia, 2023)

Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. - Junming Chen; Meirui Jiang; Qi Dou 001; Qifeng Chen (WACV, 2023)

IJCARS-IPCAI 2023 special issue: conference information processing for computer-assisted interventions, 14th International Conference 2023 - part 1. - Toby Collins; Qi Dou 001; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2023)

RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes. - Bingchen Gong; Yuehao Wang; Xiaoguang Han 001; Qi Dou 001 (CoRR, 2023)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Zhenwei Shi; Jiatai Lin; Qi Dou 001; Ke Zhao; Fang-Fang Liu; Yu-Mian Jia; Jin Wang; Bingchao Zhao; Changhong Liang; Zaiyi Liu; et al. (CoRR, 2023)

End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning. - Hongbin Lin; Bin Li 082; Xiangyu Chu; Qi Dou 001; Yunhui Liu 001; Kwok Wai Samuel Au (CoRR, 2023)

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. - Yang Yu 070; Danruo Deng; Furui Liu; Yueming Jin; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (CoRR, 2023)

3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. - Shizhan Gong; Yuan Zhong; Wenao Ma; Jinpeng Li 004; Zhao Wang 006; Jingyang Zhang; Pheng-Ann Heng; Qi Dou 001 (CoRR, 2023)

SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model. - Yizhe Zhang 001; Shuo Wang 011; Tao Zhou 002; Qi Dou 001; Danny Z. Chen (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning. - Yonghao Long 001; Wang Wei; Tao Huang; Yuehao Wang; Qi Dou 001 (IEEE Robotics Autom. Lett., 2023)

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. - Meirui Jiang; Hongzheng Yang; Cheng Chen 013; Qi Dou 001 (IEEE Trans. Medical Imaging, 2023)

Domain Adaptive Graph Infomax via Conditional Adversarial Networks. - Jiaren Xiao; Quanyu Dai; Xiaochen Xie; Qi Dou 001; Ka-Wai Kwok; James Lam (IEEE Trans. Netw. Sci. Eng., 2023)

Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery. - Ruofeng Wei; Bin Li 082; Hangjie Mo; Bo Lu; Yonghao Long 001; Bohan Yang 005; Qi Dou 001; Yunhui Liu 001; Dong Sun 001 (IEEE Trans. Biomed. Eng., 2023)

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. - Jun Lyu; Guangyuan Li; Chengyan Wang; Chen Qin; Shuo Wang 011; Qi Dou 001; Jing Qin 001 (Medical Image Anal., 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. - Yuhan Zhang; Luyang Luo; Qi Dou 001; Pheng-Ann Heng (Medical Image Anal., 2023)

PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (Comput. Methods Programs Biomed., 2023)

Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction. - Yonghao Long 001; Chengkun Li; Qi Dou 001 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. - Jing Dai; Xiaomei Wang; Yingqi Li; Zhiyu Liu; Yui-Lun Ng; Jiaren Xiao; Joe King Man Fan; James Lam; Qi Dou 001; Varut Vardhanabhuti; Ka-Wai Kwok (Adv. Intell. Syst., 2023)

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. - Zeju Li; Konstantinos Kamnitsas; Qi Dou 001; Chen Qin; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. - Jun Lyu; Bin Sui; Chengyan Wang; Qi Dou 001; Jing Qin 001 (Expert Syst. Appl., 2023)

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. - Yang Yu 070; Danruo Deng; Furui Liu; Qi Dou 001; Yueming Jin; Guangyong Chen; Pheng-Ann Heng (AAAI, 2024)

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. - Meirui Jiang; Anjie Le; Xiaoxiao Li; Qi Dou 001 (ICLR, 2024)

RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation. - Boshi An; Yiran Geng; Kai Chen 028; Xiaoqi Li 020; Qi Dou 001; Hao Dong 003 (ICRA, 2024)

Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation. - Jiawei Fu; Yonghao Long 001; Kai Chen 028; Wang Wei; Qi Dou 001 (ICRA, 2024)

Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-template Matching. - Jiaxin Guo; Jiangliu Wang; Zhaoshuo Li; Tongyu Jia; Qi Dou 001; Yun-Hui Liu 001 (ICRA, 2024)

Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement. - Yiang Lu; Bin Li 082; Wei Chen 068; Junyan Yan; Shing Shin Cheng; Jiangliu Wang; Jianshu Zhou; Qi Dou 001; Yun-Hui Liu 001 (ICRA, 2024)

Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models. - Zhen Zhang; Anran Lin; Chun Wai Wong; Xiangyu Chu; Qi Dou 001; K. W. Samuel Au (ICRA, 2024)

Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement. - Shizhan Gong; Yuan Zhong; Yuqi Gong; Nga Yan Chan; Wenao Ma; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (ISBI, 2024)

Efficient Transferability Assessment for Selection of Pre-trained Detectors. - Zhao Wang 006; Aoxue Li; Zhenguo Li; Qi Dou 001 (WACV, 2024)

Any-point Trajectory Modeling for Policy Learning. - Chuan Wen; Xingyu Lin; John So; Kai Chen 028; Qi Dou 001; Yang Gao 029; Pieter Abbeel (CoRR, 2024)

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. - Zhao Wang 006; Aoxue Li; Enze Xie; Lingting Zhu; Yong Guo; Qi Dou 001; Zhenguo Li (CoRR, 2024)

Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot. - Zhenya Yang; Yonghao Long 001; Kai Chen 028; Wang Wei; Qi Dou 001 (CoRR, 2024)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting. - Kailing Wang; Chen Yang 023; Yuehao Wang; Sikuang Li; Yan Wang 033; Qi Dou 001; Xiaokang Yang; Wei Shen 002 (CoRR, 2024)

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training. - Shizhan Gong; Qi Dou 001; Farzan Farnia (CoRR, 2024)

Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray. - Qiao Deng; Zhongzhen Huang; Yunqi Wang; Zhichuan Wang; Zhao Wang 006; Xiaofan Zhang 002; Qi Dou 001; Yeung Yu Hui; Edward S. Hui (CoRR, 2024)

Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians. - Zhenya Yang; Kai Chen 028; Yonghao Long 001; Qi Dou 001 (CoRR, 2024)

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. - Tiantian Zhang; Manxi Lin; Hongda Guo; Xiaofan Zhang 002; Ka Fung Peter Chiu; Aasa Feragen; Qi Dou 001 (CoRR, 2024)

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting. - Shuojue Yang; Qian Li; Daiyun Shen; Bingchen Gong; Qi Dou 001; Yueming Jin (CoRR, 2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Tianyu Huang; Tao Zhou 002; Weidi Xie; Shuo Wang 011; Qi Dou 001; Yizhe Zhang 001 (CoRR, 2024)

Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space. - Yuan Wang; Zhao Wang 006; Junhao Gong; Di Huang; Tong He 001; Wanli Ouyang; Jile Jiao; Xuetao Feng; Qi Dou 001; Shixiang Tang; Dan Xu 002 (CoRR, 2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Ruinan Jin; Zikang Xu; Yuan Zhong; Qiongsong Yao; Qi Dou 001; S. Kevin Zhou; Xiaoxiao Li (CoRR, 2024)

Weakly-supervised Medical Image Segmentation with Gaze Annotations. - Yuan Zhong; Chenhui Tang; Yumeng Yang; Ruoxi Qi; Kang Zhou; Yuqi Gong; Pheng-Ann Heng; Janet H. Hsiao; Qi Dou 001 (CoRR, 2024)

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge. - Hao Ding; Tuxun Lu; Yuqian Zhang; Ruixing Liang; Hongchao Shu; Lalithkumar Seenivasan; Yonghao Long 001; Qi Dou 001; Cong Gao 003; Mathias Unberath (CoRR, 2024)

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis. - Congzhen Shi; Ryan Rezai; Jiaxi Yang; Qi Dou 001; Xiaoxiao Li (CoRR, 2024)

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling. - Ruofeng Wei; Bin Li 082; Kai Chen 028; Yiyao Ma; Yun-Hui Liu 001; Qi Dou 001 (CoRR, 2024)

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. - Xiaogen Zhon; Yiyou Sun; Min Deng; Winnie Chiu Wing Chu; Qi Dou 001 (CoRR, 2024)

Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. - Shadi Albarqouni; Christian F. Baumgartner; Qi Dou 001; Ender Konukoglu; Bjoern H. Menze; Archana Venkataraman (Medical Image Anal., 2024)

3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. - Shizhan Gong; Yuan Zhong; Wenao Ma; Jinpeng Li 004; Zhao Wang 006; Jingyang Zhang; Pheng-Ann Heng; Qi Dou 001 (Medical Image Anal., 2024)

Federated learning as a catalyst for digital healthcare innovations. - Guang Yang; Brandon Edwards; Spyridon Bakas; Qi Dou 001; Daguang Xu; Xiaoxiao Li; Wanying Wang (Patterns, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Intelligent Shape Decoding of a Soft Optical Waveguide Sensor. - Chi-hin Mak; Yingqi Li; Kui Wang; Mengjie Wu; Justin Di-Lang Ho; Qi Dou 001; Kam-Yim Sze; Kaspar Althoefer; Ka-Wai Kwok (Adv. Intell. Syst., 2024)

GMM-Based Heuristic Decision Framework for Safe Automated Laparoscope Control. - Bin Li 082; Yiang Lu; Wei Chen 068; Bo Lu; Fangxun Zhong; Qi Dou 001; Yun-Hui Liu 001 (IEEE Robotics Autom. Lett., 2024)

Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation. - Yuehao Wang; Bingchen Gong; Yonghao Long 001; Siu Hin Fan; Qi Dou 001 (Int. J. Comput. Assist. Radiol. Surg., 2024)

Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. - Wenao Ma; Cheng Chen 013; Yuqi Gong; Nga Yan Chan; Meirui Jiang; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (IEEE Trans. Medical Imaging, 2024)

Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer. - Kang Wang; Feiyang Zheng; Lan Cheng; Hong-Ning Dai; Qi Dou 001; Jing Qin 001 (IEEE Trans. Medical Imaging, 2024)

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane. - Chen Yang 023; Kailing Wang; Yuehao Wang; Qi Dou 001; Xiaokang Yang; Wei Shen 002 (IEEE Trans. Medical Imaging, 2024)

Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. - Jun Lyu; Guangyuan Li; Chengyan Wang; Qing Cai; Qi Dou 001; David Zhang 001; Jing Qin 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)