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.

[BibT_eX]

[DOI]

Wenao Ma

Shuang Zheng

Lei Zhang

Huimao Zhang

Qi Dou

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Tackling Long-Tailed Category Distribution Under Domain Shifts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images.

[BibT_eX]

[DOI]

Meirui Jiang

Zirui Wang

Qi Dou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.

[BibT_eX]

[DOI]

Camilo Bermudez Noguera

IEEE Trans. Medical Imaging, 2021

Temporal Memory Relation Network for Workflow Recognition From Surgical Video.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery.

[BibT_eX]

[DOI]

CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

MIcro-Surgical Anastomose Workflow recognition challenge report.

[BibT_eX]

[DOI]

CoRR, 2021

MIcro-surgical anastomose workflow recognition challenge report.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2021

Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Accurate instance segmentation of surgical instruments in robotic surgery: model refinement and cross-dataset evaluation.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jiaze Wang

Kai Chen

Qi Dou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Accurate Grid Keypoint Learning for Efficient Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Future Frame Prediction for Robot-Assisted Surgery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation.

[BibT_eX]

[DOI]

Kai Chen

Qi Dou

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Unpaired Multi-Modal Segmentation via Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

[BibT_eX]

[DOI]

Zhao Wang

Quande Liu

Qi Dou

IEEE J. Biomed. Health Informatics, 2020

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multi-task recurrent convolutional network with correlation loss for surgical video analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.

[BibT_eX]

[DOI]

Camilo Bermudez Noguera

CoRR, 2020

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

LRTD: long-range temporal dependency based active learning for surgical workflow recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2020

An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2020

Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread.

[BibT_eX]

[DOI]

Xiaoyang Zou

Qi Dou

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Robert Robinson

Qi Dou

Daniel Coelho de Castro

Konstantinos Kamnitsas

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.

[BibT_eX]

[DOI]

Quande Liu

Qi Dou

Pheng-Ann Heng

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Harmonizing Transferability and Discriminability for Adapting Object Detectors.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Webthetics: Quantifying webpage aesthetics with deep learning.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 2019

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.

[BibT_eX]

[DOI]

Ben Glocker

Robert Robinson

Daniel Coelho de Castro

Qi Dou

Ender Konukoglu

CoRR, 2019

Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training.

[BibT_eX]

[DOI]

CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).

[BibT_eX]

[DOI]

Patrick Bilic

Patrick Ferdinand Christ

Tomasz K. Konopczynski

Gabriel Efrain Humpire Mamani

Michal Marianne Amitai

CoRR, 2019

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2019

Domain Generalization via Model-Agnostic Learning of Semantic Features.

[BibT_eX]

[DOI]

Qi Dou

Daniel Coelho de Castro

Konstantinos Kamnitsas

Ben Glocker

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.

[BibT_eX]

[DOI]

Martin Zlocha

Qi Dou

Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.

[BibT_eX]

[DOI]

NeuroImage, 2018

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.

[BibT_eX]

[DOI]

CoRR, 2018

ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

3D deeply supervised network for automated segmentation of volumetric medical images.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

DCAN: Deep contour-aware networks for object instance segmentation from histology images.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes.

[BibT_eX]

[DOI]

CoRR, 2017

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images.

[BibT_eX]

[DOI]

CoRR, 2017

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.

[BibT_eX]

[DOI]