Jun Ma

发表

Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images

Xiaoping Yang, Jun Ma, 2020, HECKTOR@MICCAI.

Inter-observer agreement of computed tomography and magnetic resonance imaging on gross tumor volume delineation of intrahepatic cholangiocarcinoma: an initial study.

Nan Zhou, Jun Ma, Anning Hu, 2021, Quantitative imaging in medicine and surgery.

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

M.N.S. Swamy, Jun Ma, M. Omair Ahmad, 2020, IEEE Transactions on Medical Imaging.

Cascaded Framework for Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

Jun Ma, 2020 .

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

D. Štern, Song Gu, Xiaoping Yang, 2022, Medical Image Anal..

A Characteristic Function-Based Algorithm for Geodesic Active Contours

Xiao-Ping Wang, Jun Ma, Xiaoping Yang, 2020, SIAM J. Imaging Sci..

Pretrained 3D U-Net models for COVID-19 CT Lung and Infection Segmentation

Jun Ma, Ziqi Yu, Yixin Wang, 2020 .

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation pdf

Zhiqiang He, Yixin Wang, Jun Ma, 2020, ArXiv.

Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation.

Zhiqiang He, Yixin Wang, Jun Ma, 2020, Medical physics.

Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation pdf

Jun Ma, Jun Ma, 2020, M&Ms and EMIDEC/STACOM@MICCAI.

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge pdf

Nikolaos V. Tsekos, Xiahai Zhuang, Anja Hennemuth, 2021, Medical Image Anal..

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

John O. Prior, M. Hatt, A. Rahmim, 2021, Medical Image Anal..

Segmentation Loss Odyssey pdf

Jun Ma, Jun Ma, 2020, ArXiv.

Loss odyssey in medical image segmentation

Anne L. Martel, Rui Huang, Jun Ma, 2021, Medical Image Anal..

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

Sergio Escalera, Mitko Veta, Xiahai Zhuang, 2021, IEEE Transactions on Medical Imaging.

MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images pdf

Sotirios A. Tsaftaris, Sergio Escalera, Xiahai Zhuang, 2022, Medical Image Anal..

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

Congcong Wang, Shangqing Liu, Jun Ma, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation

Yuanjie Zheng, Jun Ma, Xinmeng Li, 2022, Medical Image Anal..

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

Dinggang Shen, M.N.S. Swamy, Jun Ma, 2020, IEEE Transactions on Medical Imaging.

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge

Bjoern H Menze, J. Schaller, A. Hennemuth, 2021, Medical Image Anal..

Active contour regularized semi-supervised learning for COVID-19 CT infection segmentation with limited annotations

Jun Ma, Congcong Wang, Xiaoping Yang, 2020, Physics in medicine and biology.

Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? pdf

Jun Ma, Jun Ma, 2021, ArXiv.

Fast and Low GPU Memory Abdominal Organ Segmentation in CT

Jun Ma, Xingle An, Guoqiang Dong, 2021 .

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge

S. Ooi, Chung-Ming Chen, Raabid Hussain, 2022, Comput. Medical Imaging Graph..

Automatic dental root CBCT image segmentation based on CNN and level set method

Jun Ma, Xiaoping Yang, Xiaoping Yang, 2019, Medical Imaging: Image Processing.

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge

Bjoern H Menze, Tommaso Di Noto, Riccardo de Feo, 2021, NeuroImage.

Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model

Jun Ma, Le Lu, Le Lu, 2010, Comput. Vis. Image Underst..

Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images.

Xiaoping Yang, Jun Ma, Luying Gui, 2021, Medical physics.

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs

Xiaoping Yang, Jun Ma, Jian He, 2020, IEEE Transactions on Medical Imaging.

A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation pdf

Dong Wang, Xiaoping Yang, Jun Ma, 2020, ArXiv.

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Gary D. Bader, Chao Zuo, Song Gu, 2023, Nature methods.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, arXiv.org.

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

Jae Won Choi, Wenjie Liu, M. Wiesenfarth, 2023, ArXiv.

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Bjoern H Menze, Moon S Kim, David G. Ellis, 2023, ArXiv.

Medical Image Segmentation by Geodesic Active Contour Incorporating Region Statistical Information

Changzheng Liu, Junlin Ma, Guiyun Ye, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

Automatic Brain Tumor Segmentation by Exploring the Multi-modality Complementary Information and Cascaded 3D Lightweight CNNs

Jun Ma, Xiaoping Yang, Xiaoping Yang, 2018, BrainLes@MICCAI.

Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI pdf

Jun Ma, Jun Ma, 2020, ArXiv.

Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation

Jun Ma, Jun Ma, 2020, MyoPS@MICCAI.