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

Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images.

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Yanwen Li

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

2020

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.

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IEEE Trans. Medical Imaging, 2020

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

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IEEE Trans. Medical Imaging, 2020

A Multi-Organ Nucleus Segmentation Challenge.

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[DOI]

Navid Alemi Koohbanani

Ekaterina Sirazitdinova

Khan M. Iftekharuddin

Kaushiki Roy

Debotosh Bhattacharjee

Aníbal Pedraza

Maria Gloria Bueno

Sabarinathan Devanathan

Saravanan Radhakrishnan

IEEE Trans. Medical Imaging, 2020

Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition.

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[DOI]

IEEE Trans. Medical Imaging, 2020

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

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[DOI]

IEEE Trans. Medical Imaging, 2020

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

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[DOI]

IEEE J. Biomed. Health Informatics, 2020

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

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[DOI]

IEEE Trans. Cybern., 2020

Towards a new generation of artificial intelligence in China.

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[DOI]

Nat. Mach. Intell., 2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.

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[DOI]

Medical Image Anal., 2020

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

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Medical Image Anal., 2020

Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation.

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

2019

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

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[DOI]

IEEE Trans. Medical Imaging, 2019

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.

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[DOI]

IEEE Trans. Medical Imaging, 2019

SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection.

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[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.

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[DOI]

Medical Image Anal., 2019

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

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[DOI]

Medical Image Anal., 2019

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.

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[DOI]

CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).

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[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.

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[DOI]

IEEE Access, 2019

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation.

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

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis.

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

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.

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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.

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

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

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

PRSNet: Part Relation and Selection Network for Bone Age Assessment.

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

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

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[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.

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[DOI]

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

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

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[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

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

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

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

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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.

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[DOI]

IEEE Trans. Medical Imaging, 2018

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

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IEEE Trans. Medical Imaging, 2018

CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion.

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[DOI]

IEEE Trans. Cybern., 2018

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

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NeuroImage, 2018

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

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[DOI]

Medical Image Anal., 2018

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

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[DOI]

CoRR, 2018

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

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[DOI]

CoRR, 2018

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

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[DOI]

CoRR, 2018

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

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[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.

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[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.

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[DOI]

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

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

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[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.

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[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.

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Proceedings of the British Machine Vision Conference 2018, 2018

SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction.

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

2017

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

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[DOI]

IEEE Trans. Medical Imaging, 2017

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.

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IEEE Trans. Medical Imaging, 2017

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

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IEEE J. Biomed. Health Informatics, 2017

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

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IEEE Trans. Cybern., 2017

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

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IEEE Trans. Biomed. Eng., 2017

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

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Medical Image Anal., 2017

Gland segmentation in colon histology images: The glas challenge contest.

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[DOI]

Korsuk Sirinukunwattana

Bogdan J. Matuszewski

Medical Image Anal., 2017

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

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Medical Image Anal., 2017

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

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Medical Image Anal., 2017

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

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[DOI]

Medical Image Anal., 2017

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

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[DOI]

CoRR, 2017

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

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[DOI]

CoRR, 2017

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

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[DOI]

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

AGNet: Attention-Guided Network for Surgical Tool Presence Detection.

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[DOI]

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.

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[DOI]

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

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images.

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[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

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[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.

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[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.

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[DOI]

CoRR, 2016

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation.

[BibT_eX]

[DOI]

CoRR, 2016

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation.

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[DOI]

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.

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[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.

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[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.

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[DOI]

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Automated mitosis detection with deep regression networks.

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[DOI]

Hao Chen

Xi Wang

Pheng-Ann Heng

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation.

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[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Contextual Networks for Neuronal Structure Segmentation.

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[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks.

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[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

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[DOI]

IEEE J. Biomed. Health Informatics, 2015

Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks.

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Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.

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[DOI]

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.

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[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Square Localization for Efficient and Accurate Object Detection.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.

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[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

1-HKUST: Object Detection in ILSVRC 2014.

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CoRR, 2014

Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.

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[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2011

A Novel Texture-Based Multi-Linear Analysis Algorithm for Face Recognition.

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[DOI]

Int. J. Image Graph., 2011

2008

Multilinear analysis based on image texture for face recognition.

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[DOI]

Huchuan Lu

Hao Chen

Yen-Wei Chen

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2000

Improving the Lagrangian relaxation approach for large job-shop scheduling.

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[DOI]

Lei Fang

Peter B. Luh

Hao Chen

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Hao Chen

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