Interactive Reaction-Diffusion on Surface Tiles. - Kui-Yip Lo; Hongwei Li 004; Chi-Wing Fu; Tien-Tsin Wong (PG, 2007)

Visualizing Large-Scale Uncertainty in Astrophysical Data. - Hongwei Li 004; Chi-Wing Fu; Yinggang Li; Andrew J. Hanson (IEEE Trans. Vis. Comput. Graph., 2007)

Visualizing Multiwavelength Astrophysical Data. - Hongwei Li 004; Chi-Wing Fu; Andrew J. Hanson (IEEE Trans. Vis. Comput. Graph., 2008)

Dual Poisson-Disk Tiling: An Efficient Method for Distributing Features on Arbitrary Surfaces. - Hongwei Li 004; Kui-Yip Lo; Man-Kang Leung; Chi-Wing Fu (IEEE Trans. Vis. Comput. Graph., 2008)

3D polyomino puzzle. - Kui-Yip Lo; Chi-Wing Fu; Hongwei Li 004 (ACM Trans. Graph., 2009)

Fast capacity constrained Voronoi tessellation. - Hongwei Li 004; Diego Nehab; Li-Yi Wei; Pedro V. Sander; Chi-Wing Fu (SI3D, 2010)

Anisotropic blue noise sampling. - Hongwei Li 004; Li-Yi Wei; Pedro V. Sander; Chi-Wing Fu (ACM Trans. Graph., 2010)

Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images. - Yonghong Li; Jianhuang Wu; Hongwei Li 004; Degang Li; Xiaohua Du; Zhijun Chen; Fucang Jia; Qingmao Hu (J. Medical Syst., 2012)

HEp-2 cells staining patterns classification via wavelet scattering network and random forest. - Bran Hongwei Li; Jianguo Zhang 001; Wei-Shi Zheng 001 (ACPR, 2015)

Learning 3D Compact Binary Descriptor for Human Action Recognition in Video. - Dongcheng Huang; Xiang Li 032; Hongwei Li 004; Wei-Shi Zheng 001 (CCBR, 2015)

HEp-2 specimen classification via deep CNNs and pattern histogram. - Hongwei Li 004; Hao Huang; Wei-Shi Zheng 001; Xiaohua Xie; Jianguo Zhang 001 (ICPR, 2016)

Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis. - Hongwei Li 004; Jianguo Zhang 001; Wei-Shi Zheng 001 (CoRR, 2016)

Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. - Yu Zhao 009; Hongwei Li 004; Rong Zhou; Giles Tetteh; Marc Niethammer; Bjoern H. Menze (ICPR, 2018)

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Bjoern H. Menze; Marie Piraud (BrainLes@MICCAI (2), 2018)

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. - Hongwei Li 004; Andrii Zhygallo; Bjoern H. Menze (BrainLes@MICCAI (1), 2018)

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. - Hongwei Li 004; Jianguo Zhang 001; Mark Mühlau; Jan Kirschke; Bjoern H. Menze (BrainLes@MICCAI (1), 2018)

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Hongwei Li 004; Kanru Lin; Maximilian Reichert; Lina Xu; Rickmer Braren; Deliang Fu; Roland Schmid; Ji Li; Bjoern Holger Menze; Kuangyu Shi (CoRR, 2018)

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. - Xiaobin Hu; Hongwei Li 004; Yu Zhao 009; Chao Dong; Marie Piraud (CoRR, 2018)

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. - Hongwei Li 004; Gongfa Jiang; Jianguo Zhang 001; Ruixuan Wang; Zhaolei Wang; Wei-Shi Zheng 001; Bjoern H. Menze (NeuroImage, 2018)

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. - Hongwei Li 004; Maximilian Reichert; Kanru Lin; Nikita Tselousov; Rickmer Braren; Deliang Fu; Roland Schmid; Ji Li; Bjoern H. Menze; Kuangyu Shi (EMBC, 2019)

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. - Yu Zhao 009; Ping Wu 003; Jian Wang 009; Hongwei Li 004; Nassir Navab; Igor Yakushev; Wolfgang Weber 005; Markus Schwaiger; Sung-Cheng Huang; Paul Cumming; Axel Rominger; Chuantao Zuo; et al. (EMBC, 2019)

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. - Jingkun Chen; Hongwei Li 004; Jianguo Zhang 001; Bjoern H. Menze (STACOM@MICCAI, 2019)

DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. - Hongwei Li 004; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jianguo Zhang 001; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze (MICCAI (4), 2019)

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. - Yu Zhao 009; Yuan Liu; Yansheng Kan; Anjany Sekuboyina; Diana Waldmannstetter; Hongwei Li 004; Xiaobin Hu; Xiaozhi Zhao; Kuangyu Shi; Bjoern H. Menze (MICCAI (6), 2019)

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. - Jiechao Ma; Xiang Li 032; Hongwei Li 004; Bjoern H. Menze; Sen Liang; Rongguo Zhang; Wei-Shi Zheng 001 (MIDL, 2019)

Cross-view Relation Networks for Mammogram Mass Detection. - Jiechao Ma; Sen Liang; Xiang Li 032; Hongwei Li 004; Bjoern H. Menze; Rongguo Zhang; Wei-Shi Zheng 001 (CoRR, 2019)

Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks. - Xiang Li 032; Jiechao Ma; Hongwei Li 004 (CoRR, 2019)

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. - Yu Zhao 009; Hongwei Li 004; Shaohua Wan 001; Anjany Sekuboyina; Xiaobin Hu; Giles Tetteh; Marie Piraud; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Cross-View Relation Networks for Mammogram Mass Detection. - Jiechao Ma; Xiang Li 032; Hongwei Li 004; Ruixuan Wang; Bjoern H. Menze; Wei-Shi Zheng 001 (ICPR, 2020)

Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. - Jingkun Chen; Wenqi Li 001; Hongwei Li 004; Jianguo Zhang 001 (MICCAI (4), 2020)

Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. - Hongwei Li 004; Jianguo Zhang 001; Bjoern H. Menze (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. - Ahmad Bin Qasim; Ivan Ezhov; Suprosanna Shit; Oliver Schoppe; Johannes C. Paetzold; Anjany Sekuboyina; Florian Kofler; Jana Lipková; Hongwei Li 004; Bjoern H. Menze (MIDL, 2020)

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li 004; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang 001; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. - Hongwei Li 004; Timo Loehr; Benedikt Wiestler; Jianguo Zhang 001; Bjoern H. Menze (CoRR, 2020)

Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum. - Hongwei Li 004; Aurore Menegaux; Felix J. B. Bäuerlein; Suprosanna Shit; Benita Schmitz-Koep; Christian Sorg; Bjoern H. Menze; Dennis M. Hedderich (CoRR, 2020)

Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks. - Hongwei Li 004; Rameshwara G. N. Prasad; Anjany Sekuboyina; Chen Niu; Siwei Bai; Werner Hemmert; Björn H. Menze (CoRR, 2020)

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. - Xiaobin Hu; Rui Guo; Jieneng Chen; Hongwei Li 004; Diana Waldmannstetter; Yu Zhao 009; Biao Li; Kuangyu Shi; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2020)

Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference. - Hongwei Li 004; Rameshwara G. N. Prasad; Anjany Sekuboyina; Chen Niu; Siwei Bai; Werner Hemmert; Bjoern H. Menze (ISBI, 2021)

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. - Hongwei Li 004; Sunita Gopal; Anjany Sekuboyina; Jianguo Zhang 001; Chen Niu; Carolin M. Pirkl; Jan Kirschke; Benedikt Wiestler; Bjoern H. Menze (UNSURE/PIPPI@MICCAI, 2021)

Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. - Hongwei Li 004; Fei-Fei Xue; Krishna Chaitanya; Shengda Luo; Ivan Ezhov; Benedikt Wiestler; Jianguo Zhang 001; Bjoern H. Menze (MICCAI (2), 2021)

Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features. - Xiaobin Hu; Yanyang Yan; Wenqi Ren; Hongwei Li 004; Amirhossein Bayat; Yu Zhao 009; Bjoern H. Menze (MIDL, 2021)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Michela Tosetti; Mauro Costagli; et al. (MIDL, 2021)

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. - Hongwei Li 004; Fei-Fei Xue; Krishna Chaitanya; Shengda Liu; Ivan Ezhov; Benedikt Wiestler; Jianguo Zhang 001; Bjoern H. Menze (CoRR, 2021)

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. - Florian Kofler; Ivan Ezhov; Fabian Isensee; Fabian Balsiger; Christoph Berger; Maximilian Koerner; Johannes C. Paetzold; Hongwei Li 004; Suprosanna Shit; Richard McKinley; Spyridon Bakas; Claus Zimmer; et al. (CoRR, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

Relationformer: A Unified Framework for Image-to-Graph Generation. - Suprosanna Shit; Rajat Koner; Bastian Wittmann; Johannes C. Paetzold; Ivan Ezhov; Hongwei Li 004; Jiazhen Pan; Sahand Sharifzadeh; Georgios Kaissis; Volker Tresp; Bjoern H. Menze (ECCV (37), 2022)

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. - Chinmay Prabhakar; Anjany Sekuboyina; Hongwei Bran Li; Johannes C. Paetzold; Suprosanna Shit; Tamaz Amiranashvili; Jens Kleesiek; Bjoern H. Menze (GeoMedIA, 2022)

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. - Qingqiao Hu; Hongwei Li 004; Jianguo Zhang 001 (MICCAI (6), 2022)

What Makes for Automatic Reconstruction of Pulmonary Segments. - Kaiming Kuang; Li Zhang 085; Jingyu Li; Hongwei Li 004; Jiajun Chen; Bo Du 001; Jiancheng Yang (MICCAI (1), 2022)

Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions. - Tamaz Amiranashvili; David Lüdke; Hongwei Bran Li; Bjoern H. Menze; Stefan Zachow (MIDL, 2022)

METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. - Izabela Horvath; Johannes C. Paetzold; Oliver Schoppe; Rami Al-Maskari; Ivan Ezhov; Suprosanna Shit; Hongwei Li 004; Ali Ertürk; Bjoern H. Menze (WACV, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. - Hongwei Bran Li; Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Tamaz Amiranashvili; Jianguo Zhang 001; Daniel Rueckert; Juan Eugenio Iglesias; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Mauro Costagli; Guido Buonincontri; et al. (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Chantal Pellegrini; Marcel Kollovieh; Fernando Navarro; Hongwei Li 004; Marie Metz; Benedikt Wiestler; et al. (IEEE Trans. Medical Imaging, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. - Wenqi Huang 003; Hongwei Bran Li; Jiazhen Pan; Gastão Cruz; Daniel Rueckert; Kerstin Hammernik (IPMI, 2023)

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. - Florian Kofler; Suprosanna Shit; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Rami Al-Maskari; Hongwei Bran Li; Harsharan Bhatia; Timo Loehr; Marie Piraud; Ali Ertürk; Jan Kirschke; et al. (IPMI, 2023)

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. - Alina F. Dima; Veronika A. Zimmer; Martin J. Menten; Hongwei Bran Li; Markus Graf; Tristan Lemke; Philipp Raffler; Robert Graf; Jan S. Kirschke; Rickmer Braren; Daniel Rueckert (MICCAI (1), 2023)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (MICCAI (8), 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang 003; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (MICCAI (10), 2023)

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. - Chinmay Prabhakar; Hongwei Bran Li; Johannes C. Paetzold; Timo Loehr; Chen Niu; Mark Mühlau; Daniel Rueckert; Benedikt Wiestler; Bjoern H. Menze (MICCAI (8), 2023)

ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations. - Chinmay Prabhakar; Hongwei Li 004; Jiancheng Yang; Suprosanna Shit; Benedikt Wiestler; Bjoern H. Menze (MIDL, 2023)

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images. - Chinmay Prabhakar; Suprosanna Shit; Johannes C. Paetzold; Ivan Ezhov; Rajat Koner; Hongwei Li 004; Florian Sebastian Kofler; Bjoern H. Menze (MIDL, 2023)

Multi-contrast MRI Super-resolution via Implicit Neural Representations. - Julian McGinnis; Suprosanna Shit; Hongwei Bran Li; Vasiliki Sideri-Lampretsa; Robert Graf; Maik Dannecker; Jiazhen Pan; Nil Stolt Ansó; Mark Mühlau; Jan S. Kirschke; Daniel Rueckert; Benedikt Wiestler (CoRR, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays. - Ibrahim Ethem Hamamci; Sezgin Er; Enis Simsar; Atif Emre Yüksel; Sadullah Gultekin; Serife Damla Ozdemir; Kaiyuan Yang 005; Hongwei Bran Li; Sarthak Pati; Bernd Stadlinger; Albert Mehl; Mustafa Gundogar; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases. - Jiancheng Yang; Hongwei Bran Li; Donglai Wei 001 (CoRR, 2023)

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks. - Qingqiao Hu; Hao Wang 005; Jing Luo; Yunhao Luo 001; Zhiheng Zhang; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze; Jianguo Zhang 001; Hongwei Bran Li (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (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)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI. - Pablo Laso; Stefano Cerri; Annabel Sorby-Adams; Jennifer Guo; Farrah Mateen; Philipp Goebl; Jiaming Wu; Peirong Liu; Hongwei Bran Li; Sean I. Young; Benjamin Billot; Oula Puonti; et al. (ISBI, 2024)

Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies. - Hongwei Bran Li; Matthew S. Rosen; Shahin Nasr; Juan Eugenio Iglesias (ISBI, 2024)

3D Vessel Graph Generation Using Denoising Diffusion. - Chinmay Prabhakar; Suprosanna Shit; Fabio Musio; Kaiyuan Yang 003; Tamaz Amiranashvili; Johannes C. Paetzold; Hongwei Bran Li; Bjoern H. Menze (MICCAI (11), 2024)

VariViT: A Vision Transformer for Variable Image Sizes. - Aswathi Varma; Suprosanna Shit; Chinmay Prabhakar; Daniel Scholz 005; Hongwei Bran Li; Bjoern H. Menze; Daniel Rueckert; Benedikt Wiestler (MIDL, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. - Hongwei Bran Li; Cheng Ouyang; Tamaz Amiranashvili; Matthew S. Rosen; Bjoern H. Menze; Juan Eugenio Iglesias (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models. - Qingqiao Hu; Daoan Zhang; Jiebo Luo 001; Zhenyu Gong; Benedikt Wiestler; Jianguo Zhang 001; Hongwei Bran Li (CoRR, 2024)

TV-based Deep 3D Self Super-Resolution for fMRI. - Fernando Pérez-Bueno; Hongwei Bran Li; Shahin Nasr; César Caballero-Gaudes; Juan Eugenio Iglesias (CoRR, 2024)

Siamese network to assess scanner-related contrast variability in MRI. - Matteo Polsinelli; Hongwei Bran Li; Filippo Mignosi; Li Zhang 085; Giuseppe Placidi (Image Vis. Comput., 2024)

Learning continuous shape priors from sparse data with neural implicit functions. - Tamaz Amiranashvili; David Lüdke; Hongwei Bran Li; Stefan Zachow; Bjoern H. Menze (Medical Image Anal., 2024)

Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. - Hailong He; Johannes C. Paetzold; Nils Börner; Erik Riedel; Stefan Gerl; Simon Schneider; Chiara Fisher; Ivan Ezhov; Suprosanna Shit; Hongwei Li 004; Daniel Rückert; Juan Aguirre; et al. (IEEE Trans. Medical Imaging, 2024)

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz. - Danyal F. Bhutto; Bo Zhu 011; Jeremiah Z. Liu; Neha Koonjoo; Hongwei Bran Li; Bruce R. Rosen; Matthew S. Rosen (IEEE J. Biomed. Health Informatics, 2024)

Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. - Jialin Yuan; Loizos Siakallis; Hongwei Bran Li; Sebastian Brandner; Jianguo Zhang 001; Chenming Li; Laura Mancini; Sotirios Bisdas (BMC Medical Imaging, 2024)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. - Jiazhen Pan; Che Liu; Junde Wu; Fenglin Liu; Jiayuan Zhu; Hongwei Bran Li; Chen Chen 042; Cheng Ouyang; Daniel Rueckert (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)

Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions. - Kangxian Xie; Yufei Zhu; Kaiming Kuang; Li Zhang 085; Hongwei Bran Li; Mingchen Gao; Jiancheng Yang (CoRR, 2025)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling. - Chinmay Prabhakar; Suprosanna Shit; Tamaz Amiranashvili; Hongwei Bran Li; Bjoern H. Menze (CoRR, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)