Qi Dou
Orcid: 0000-0002-3416-9950Affiliations:
- Chinese University of Hong Kong, China
- Imperial College London, UK (former)
According to our database1,
Qi Dou
authored at least 221 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer.
IEEE Trans. Medical Imaging, August, 2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
IEEE Trans. Medical Imaging, August, 2024
Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation.
Int. J. Comput. Assist. Radiol. Surg., May, 2024
IEEE Robotics Autom. Lett., February, 2024
Adv. Intell. Syst., February, 2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions - An EndoVis'24 Challenge.
CoRR, 2024
CoRR, 2024
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation.
CoRR, 2024
Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting.
CoRR, 2024
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring.
CoRR, 2024
Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians.
CoRR, 2024
CoRR, 2024
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting.
CoRR, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation.
Expert Syst. Appl., December, 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.
IEEE Trans. Medical Imaging, November, 2023
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.
Adv. Intell. Syst., September, 2023
Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?
Comput. Methods Programs Biomed., June, 2023
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification.
Medical Image Anal., May, 2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.
Medical Image Anal., April, 2023
Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery.
IEEE Trans. Biomed. Eng., February, 2023
IEEE Trans. Netw. Sci. Eng., 2023
IEEE Trans. Medical Imaging, 2023
Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning.
IEEE Robotics Autom. Lett., 2023
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model.
CoRR, 2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning.
CoRR, 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.
CoRR, 2023
RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes.
CoRR, 2023
IJCARS-IPCAI 2023 special issue: conference information processing for computer-assisted interventions, 14th International Conference 2023 - part 1.
Int. J. Comput. Assist. Radiol. Surg., 2023
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Visual-Kinematics Graph Learning for Procedure-Agnostic Instrument Tip Segmentation in Robotic Surgeries.
IROS, 2023
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot.
IROS, 2023
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification.
Proceedings of the Information Processing in Medical Imaging, 2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations.
Proceedings of the Information Processing in Medical Imaging, 2023
Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images.
IEEE Trans. Medical Imaging, 2022
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework.
IEEE Trans Autom. Sci. Eng., 2022
Learning Laparoscope Actions via Video Features for Proactive Robotic Field-of-View Control.
IEEE Robotics Autom. Lett., 2022
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.
IEEE Robotics Autom. Lett., 2022
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning.
Nat. Mach. Intell., 2022
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery.
Medical Image Anal., 2022
Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments.
CoRR, 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
CoRR, 2022
Special issue on 2021 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis.
Int. J. Comput. Assist. Radiol. Surg., 2022
Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Speech-Vision Based Multi-Modal AI Control of a Magnetic Anchored and Actuated Endoscope.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario.
Proceedings of the International Symposium on Medical Robotics, 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.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Cybern., 2021
Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study.
IEEE Robotics Autom. Lett., 2021
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2021
Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos.
Medical Image Anal., 2021
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.
Medical Image Anal., 2021
CoRR, 2021
Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery.
CoRR, 2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation.
Int. J. Comput. Assist. Radiol. Surg., 2021
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.
IEEE Trans. Medical Imaging, 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
IEEE Trans. Cybern., 2020
Multi-task recurrent convolutional network with correlation loss for surgical video analysis.
Medical Image Anal., 2020
LRTD: long-range temporal dependency based active learning for surgical workflow recognition.
Int. J. Comput. Assist. Radiol. Surg., 2020
An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation.
IEEE Access, 2020
Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.
IEEE Trans. Medical Imaging, 2019
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Medical Image Anal., 2019
Int. J. Hum. Comput. Stud., 2019
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.
CoRR, 2019
Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training.
CoRR, 2019
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation.
Proceedings of the Information Processing in Medical Imaging, 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes.
IEEE Trans. Medical Imaging, 2018
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
IEEE Trans. Medical Imaging, 2018
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
NeuroImage, 2018
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Medical Image Anal., 2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018
CoRR, 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.
CoRR, 2018
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Medical Imaging, 2017
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Cybern., 2017
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
IEEE Trans. Biomed. Eng., 2017
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Anal., 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Medical Image Anal., 2017
3D deeply supervised network for automated segmentation of volumetric medical images.
Medical Image Anal., 2017
DCAN: Deep contour-aware networks for object instance segmentation from histology images.
Medical Image Anal., 2017
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes.
CoRR, 2017
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images.
CoRR, 2017
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.
CoRR, 2016
CoRR, 2016
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015