Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2016)

Adversarial Examples for Semantic Segmentation and Object Detection. - Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; Yuyin Zhou; Lingxi Xie; Alan L. Yuille (ICCV, 2017)

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2017)

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2017)

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

Visual Concepts and Compositional Voting. - Jianyu Wang 001; Zhishuai Zhang; Cihang Xie; Yuyin Zhou; Vittal Premachandran; Jun Zhu 001; Lingxi Xie; Alan L. Yuille (CoRR, 2017)

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CVPR, 2018)

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. - Yan Wang 033; Yuyin Zhou; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Improving Transferability of Adversarial Examples with Input Diversity. - Cihang Xie; Zhishuai Zhang; Jianyu Wang 001; Yuyin Zhou; Zhou Ren; Alan L. Yuille (CoRR, 2018)

Semi-supervised multi-organ segmentation via multi-planar co-training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. - Yuyin Zhou; Qihang Yu; Yan Wang 033; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Improving Transferability of Adversarial Examples With Input Diversity. - Cihang Xie; Zhishuai Zhang; Yuyin Zhou; Song Bai 001; Jianyu Wang 001; Zhou Ren; Alan L. Yuille (CVPR, 2019)

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. - Yuyin Zhou; Zhe Li; Song Bai 001; Xinlei Chen; Mei Han; Chong Wang; Elliot K. Fishman; Alan L. Yuille (ICCV, 2019)

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. - Fengze Liu; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Lesion Detection by Efficiently Bridging 3D Context. - Zhishuai Zhang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. - Yuyin Zhou; David Dreizin; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Alan L. Yuille (MLMI@MICCAI, 2019)

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. - Yuyin Zhou; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Angtian Wang; Elliot K. Fishman; Alan L. Yuille; Seyoun Park (MICCAI (2), 2019)

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Song Bai 001; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (WACV, 2019)

Adversarial Metric Attack for Person Re-identification. - Song Bai 001; Yingwei Li 002; Yuyin Zhou; Qizhu Li; Philip H. S. Torr (CoRR, 2019)

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Changqing Zou; Cihang Xie; Alan L. Yuille; Ning Liu (CoRR, 2019)

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. - Yan Wang 033; Yuyin Zhou; Wei Shen 002; Seyoun Park; Elliot K. Fishman; Alan L. Yuille (Medical Image Anal., 2019)

Learning Transferable Adversarial Examples via Ghost Networks. - Yingwei Li 002; Song Bai 001; Yuyin Zhou; Cihang Xie; Zhishuai Zhang; Alan L. Yuille (AAAI, 2020)

Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Cihang Xie; Alan L. Yuille; Changqing Zou; Ning Liu (CVPR, 2020)

Neural Architecture Search for Lightweight Non-Local Networks. - Yingwei Li 002; Xiaojie Jin; Jieru Mei; Xiaochen Lian; Linjie Yang; Cihang Xie; Qihang Yu; Yuyin Zhou; Song Bai 001; Alan L. Yuille (CVPR, 2020)

Deep Distance Transform for Tubular Structure Segmentation in CT Scans. - Yan Wang 033; Xu Wei; Fengze Liu; Jieneng Chen; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CVPR, 2020)

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. - Shuhao Fu; Yongyi Lu; Yan Wang 033; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2020)

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2020)

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. - David Dreizin; Yuyin Zhou; Yixiao Zhang 001; Nikki Tirada; Alan L. Yuille (J. Digit. Imaging, 2020)

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. - Lingxi Xie; Qihang Yu; Yuyin Zhou; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (AAAI, 2021)

Pancreas CT Segmentation by Predictive Phenotyping. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Qi Yang 004; Xin Yu 010; Yuyin Zhou; Shunxing Bao; Yuankai Huo; Jeffrey M. Spraggins; Jack Virostko; Zhoubing Xu; Bennett A. Landman (MICCAI (1), 2021)

Machine Learning for Health (ML4H) 2021. - Subhrajit Roy; Stephen Pfohl; Girmaw Abebe Tadesse; Luis Oala; Fabian Falck; Yuyin Zhou; Liyue Shen; Ghada Zamzmi; Purity Mugambi; Ayah Zirikly; Matthew B. A. McDermott; Emily Alsentzer (ML4H@NeurIPS, 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Yuyin Zhou; Shih-Cheng Huang; Jason Alan Fries; Alaa Youssef; Timothy J. Amrhein; Marcello Chang; Imon Banerjee; Daniel L. Rubin; Lei Xing 001; Nigam Shah; Matthew P. Lungren (CoRR, 2021)

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Fabian Falck; Yuyin Zhou; Emma Rocheteau; Liyue Shen; Luis Oala; Girmaw Abebe; Subhrajit Roy; Stephen Pfohl; Emily Alsentzer; Matthew B. A. McDermott (CoRR, 2021)

Adversarial Metric Attack and Defense for Person Re-Identification. - Song Bai 001; Yingwei Li 002; Yuyin Zhou; Qizhu Li; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. - Yan Wang 033; Peng Tang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2021)

CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. - Yiqing Shen 003; Yuyin Zhou; Lequan Yu (CVPR, 2022)

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. - Liangqiong Qu; Yuyin Zhou; Paul Pu Liang; Yingda Xia; Feifei Wang; Ehsan Adeli 001; Li Fei-Fei 001; Daniel L. Rubin (CVPR, 2022)

A Simple Data Mixing Prior for Improving Self-Supervised Learning. - Sucheng Ren; Huiyu Wang; Zhengqi Gao; Shengfeng He; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2022)

In Defense of Image Pre-Training for Spatiotemporal Recognition. - Xianhang Li; Huiyu Wang; Chen Wei 005; Jieru Mei; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (25), 2022)

Multiple Instance Neuroimage Transformer. - Ayush Singla; Qingyu Zhao; Daniel K. Do; Yuyin Zhou; Kilian M. Pohl; Ehsan Adeli 001 (PRIME@MICCAI, 2022)

CateNorm: Categorical Normalization for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Zongwei Zhou; Yutong Bai; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (DART@MICCAI, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. - Fuying Wang; Yuyin Zhou; Shujun Wang; Varut Vardhanabhuti; Lequan Yu (NeurIPS, 2022)

Learning to Bootstrap for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CoRR, 2022)

Bag of Tricks for FGSM Adversarial Training. - Zichao Li 002; Li Liu 046; Zeyu Wang 008; Yuyin Zhou; Cihang Xie (CoRR, 2022)

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. - Yuyin Zhou; David Dreizin; Yan Wang 033; Fengze Liu; Wei Shen 002; Alan L. Yuille (IEEE Trans. Medical Imaging, 2022)

Masked Autoencoders Enable Efficient Knowledge Distillers. - Yutong Bai; Zeyu Wang 008; Junfei Xiao; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2023)

Can CNNs Be More Robust Than Transformers? - Zeyu Wang 008; Yutong Bai; Yuyin Zhou; Cihang Xie (ICLR, 2023)

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. - Yiqing Wang; Zihan Li; Jieru Mei; Zihao Wei; Li Liu 046; Chen Wang 049; Shengtian Sang; Alan L. Yuille; Cihang Xie; Yuyin Zhou (MICCAI (3), 2023)

Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. - Qingyue Wei; Lequan Yu; Xianhang Li; Wei Shao 008; Cihang Xie; Lei Xing 001; Yuyin Zhou (MICCAI (4), 2023)

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. - Siwei Yang; Xianhang Li; Jieru Mei; Jieneng Chen; Cihang Xie; Yuyin Zhou (BraTS/CrossMoDA@MICCAI, 2023)

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation. - Haipeng Zhou; Lei Zhu; Yuyin Zhou (CoRR, 2023)

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. - Kai Zhang 039; Jun Yu; Zhiling Yan; Yixin Liu 002; Eashan Adhikarla; Sunyang Fu; Xun Chen; Chen Chen 001; Yuyin Zhou; Xiang Li 001; Lifang He 001; Brian D. Davison 001; et al. (CoRR, 2023)

Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study. - Muhammad Imran 013; Brianna Nguyen; Jake Pensa; Sara M. Falzarano; Anthony E. Sisk; Muxuan Liang; John Michael DiBianco; Li-Ming Su; Yuyin Zhou; Wayne G. Brisbane; Wei Shao 008 (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation. - Yipeng Gao; Zeyu Wang 008; Wei-Shi Zheng 001; Cihang Xie; Yuyin Zhou (CoRR, 2023)

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. - Junfei Xiao; Ziqi Zhou; Wenxuan Li; Shiyi Lan; Jieru Mei; Zhiding Yu; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CoRR, 2023)

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. - Rui Yan; Liangqiong Qu; Qingyue Wei; Shih-Cheng Huang; Liyue Shen; Daniel L. Rubin; Lei Xing 001; Yuyin Zhou (IEEE Trans. Medical Imaging, 2023)

Small-Object Sensitive Segmentation Using Across Feature Map Attention. - Shengtian Sang; Yuyin Zhou; Md Tauhidul Islam; Lei Xing 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. - Zhiheng Cheng; Qingyue Wei; Hongru Zhu; Yan Wang 033; Liangqiong Qu; Wei Shao 008; Yuyin Zhou (CVPR, 2024)

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training. - Yipeng Gao; Zeyu Wang 008; Wei-Shi Zheng 001; Cihang Xie; Yuyin Zhou (CVPR, 2024)

MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections. - Mude Hui; Zihao Wei; Hongru Zhu; Fei Xia; Yuyin Zhou (CVPR, 2024)

Masked Autoencoders are Secretly Efficient Learners. - Zihao Wei; Chen Wei 005; Jieru Mei; Yutong Bai; Zeyu Wang 008; Xianhang Li; Hongru Zhu; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR Workshops, 2024)

FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. - Junyuan Zhang; Shuang Zeng; Miao Zhang; Runxi Wang; Feifei Wang; Yuyin Zhou; Paul Pu Liang; Liangqiong Qu (CVPR, 2024)

L2B: Learning to Bootstrap Robust Models for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Qingyue Wei; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CVPR, 2024)

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. - Junfei Xiao; Ziqi Zhou; Wenxuan Li; Shiyi Lan; Jieru Mei; Zhiding Yu; Bingchen Zhao; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (38), 2024)

Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. - Shiyi Du; Xiaosong Wang 001; Yongyi Lu; Yuyin Zhou; Shaoting Zhang 001; Alan L. Yuille; Kang Li 004; Zongwei Zhou (ISBI, 2024)

Brain Tumor Segmentation Through Supervoxel Transformer. - Yunfei Xie; Ce Zhou; Jieru Mei; Xianhang Li; Cihang Xie; Yuyin Zhou (ISBI, 2024)

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. - Shuang Zeng; Pengxin Guo; Shuai Wang; Jianbo Wang; Yuyin Zhou; Liangqiong Qu (MICCAI (10), 2024)

DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor. - Juncheng Wu; Zhangkai Ni; Hanli Wang; Wenhan Yang; Yuyin Zhou; Shiqi Wang 001 (NeurIPS, 2024)

Scaling White-Box Transformers for Vision. - Jinrui Yang; Xianhang Li; Druv Pai; Yuyin Zhou; Yi Ma 001; Yaodong Yu; Cihang Xie (NeurIPS, 2024)

Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. - Muhammad Imran 013; Brianna Nguyen; Jake Pensa; Sara M. Falzarano; Anthony E. Sisk; Muxuan Liang; John Michael DiBianco; Li-Ming Su; Yuyin Zhou; Jason P. Joseph; Wayne G. Brisbane; Wei Shao 008 (Biomed. Signal Process. Control., 2024)

A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention. - Amarjeet Kumar; Hongxu Jiang; Muhammad Imran 013; Cyndi Valdes; Gabriela Leon; Dahyun Kang; Parvathi Nataraj; Yuyin Zhou; Michael D. Weiss; Wei Shao 008 (Comput. Biol. Medicine, 2024)

CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention. - Muhammad Imran 013; Jonathan R. Krebs; Veera Rajasekhar Reddy Gopu; Brian Fazzone; Vishal Balaji Sivaraman; Amarjeet Kumar; Chelsea Viscardi; Robert Evans Heithaus; Benjamin Shickel; Yuyin Zhou; Michol A. Cooper; Wei Shao 008 (Comput. Medical Imaging Graph., 2024)

MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images. - Hongxu Jiang; Muhammad Imran 013; Preethika Muralidharan; Anjali Patel; Jake Pensa; Muxuan Liang; Tarik Benidir; Joseph R. Grajo; Jason P. Joseph; Russell Terry; John Michael DiBianco; Li-Ming Su; et al. (Comput. Medical Imaging Graph., 2024)

RetinaRegNet: A Versatile Approach for Retinal Image Registration. - Vishal Balaji Sivaraman; Muhammad Imran 013; Qingyue Wei; Preethika Muralidharan; Michelle R. Tamplin; Isabella M. Grumbach; Randy H. Kardon; Jui-Kai Wang; Yuyin Zhou; Wei Shao 008 (CoRR, 2024)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation. - Hongxu Jiang; Muhammad Imran 013; Linhai Ma; Teng Zhang; Yuyin Zhou; Muxuan Liang; Kuang Gong; Wei Shao 008 (CoRR, 2024)

Mamba-R: Vision Mamba ALSO Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. - Sucheng Ren; Xiaoke Huang; Xianhang Li; Junfei Xiao; Jieru Mei; Zeyu Wang 008; Alan L. Yuille; Yuyin Zhou (CoRR, 2024)

What If We Recaption Billions of Web Images with LLaMA-3? - Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang 008; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu 017; Huangjie Zheng; Yuyin Zhou; Cihang Xie (CoRR, 2024)

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? - Yunfei Xie; Juncheng Wu; Haoqin Tu; Siwei Yang; Bingchen Zhao; Yongshuo Zong; Qiao Jin; Cihang Xie; Yuyin Zhou (CoRR, 2024)

Story-Adapter: A Training-free Iterative Framework for Long Story Visualization. - Jiawei Mao; Xiaoke Huang; Yunfei Xie; Yuanqi Chang; Mude Hui; Bingjie Xu; Yuyin Zhou (CoRR, 2024)

Causal Image Modeling for Efficient Visual Understanding. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. - Peiran Xu 002; Zeyu Wang 008; Jieru Mei; Liangqiong Qu; Alan L. Yuille; Cihang Xie; Yuyin Zhou (Trans. Mach. Learn. Res., 2024)

Unleashing the Power of Visual Prompting At the Pixel Level. - Junyang Wu; Xianhang Li; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. - Qingyue Wei; Md Tauhidul Islam; Yuyin Zhou; Lei Xing 001 (Briefings Bioinform., 2024)

A New Federated Learning Framework Against Gradient Inversion Attacks. - Pengxin Guo; Shuang Zeng; Wenhao Chen; Xiaodan Zhang 003; Weihong Ren; Yuyin Zhou; Liangqiong Qu (AAAI, 2025)

Mamba-Reg: Vision Mamba Also Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Generative Image Layer Decomposition with Visual Effects. - Jinrui Yang; Qing Liu 017; Yijun Li 001; Soo Ye Kim; Daniil Pakhomov; Mengwei Ren; Jianming Zhang 001; Zhe Lin 001; Cihang Xie; Yuyin Zhou (CVPR, 2025)

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing. - Mude Hui; Siwei Yang; Bingchen Zhao; Yichun Shi; Heng Wang; Peng Wang; Cihang Xie; Yuyin Zhou (ICLR, 2025)

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. - Yunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing 001; James Zou 001; Cihang Xie; Yuyin Zhou (ICLR, 2025)

RetinaRegNet: A zero-shot approach for retinal image registration. - Vishal Balaji Sivaraman; Muhammad Imran 013; Qingyue Wei; Preethika Muralidharan; Michelle R. Tamplin; Isabella M. Grumbach; Randy H. Kardon; Jui-Kai Wang; Yuyin Zhou; Wei Shao 008 (Comput. Biol. Medicine, 2025)

ARFlow: Autogressive Flow with Hybrid Linear Attention. - Mude Hui; Rui-Jie Zhu 003; Songlin Yang; Yu Zhang 092; Zirui Wang; Yuyin Zhou; Jason Eshraghian; Cihang Xie (CoRR, 2025)

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation. - Weiren Zhao; Feng Wang 047; Yanran Wang; Yutong Xie 001; Qi Wu 001; Yuyin Zhou (CoRR, 2025)

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More. - Feng Wang 047; Yaodong Yu; Guoyizhe Wei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks. - Pengxin Guo; Runxi Wang; Shuang Zeng; Jinjing Zhu; Haoning Jiang; Yanran Wang; Yuyin Zhou; Feifei Wang; Hui Xiong; Liangqiong Qu (CoRR, 2025)

A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation. - Chaohan Wang; Yutong Xie 001; Qi Chen 014; Yuyin Zhou; Qi Wu 001 (CoRR, 2025)

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. - Xiaoke Huang; Juncheng Wu; Hui Liu 031; Xianfeng Tang; Yuyin Zhou (CoRR, 2025)

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. - Juncheng Wu; Wenlong Deng; Xingxuan Li; Sheng Liu; Taomian Mi; Yifan Peng 002; Ziyang Xu; Yi Liu 059; Hyunjin Cho; Changin Choi; Yihan Cao; Hui Ren 001; et al. (CoRR, 2025)

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs. - Jiawei Mao; Yuhan Wang; Yucheng Tang; Daguang Xu; Kang Wang 004; Yang Yang 009; Zongwei Zhou; Yuyin Zhou (CoRR, 2025)

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. - Hardy Chen; Haoqin Tu; Fali Wang; Hui Liu 031; Xianfeng Tang; Xinya Du; Yuyin Zhou; Cihang Xie (CoRR, 2025)

Complex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark. - Siwei Yang; Mude Hui; Bingchen Zhao; Yuyin Zhou; Nataniel Ruiz; Cihang Xie (CoRR, 2025)

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning. - Tajamul Ashraf; Mohammed Mohsen Peerzada; Moloud Abdar; Yutong Xie 001; Yuyin Zhou; Xiaofeng Liu; Iqra Altaf Gillani; Janibul Bashir (CoRR, 2025)

MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning. - Suhao Yu; Haojin Wang; Juncheng Wu; Cihang Xie; Yuyin Zhou (CoRR, 2025)

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays. - Harim Kim; Yuhan Wang; Minkyu Ahn; Heeyoul Choi; Yuyin Zhou; Charmgil Hong (CoRR, 2025)

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models. - Chengzhi Liu; Zhongxing Xu; Qingyue Wei; Juncheng Wu; James Zou 001; Xin Eric Wang; Yuyin Zhou; Sheng Liu (CoRR, 2025)

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation. - Running Yang; Wenlong Deng; Minghui Chen; Yuyin Zhou; Xiaoxiao Li (CoRR, 2025)

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains. - Juncheng Wu; Sheng Liu; Haoqin Tu; Hang Yu; Xiaoke Huang; James Y. Zou; Cihang Xie; Yuyin Zhou (CoRR, 2025)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models. - Weiying Zheng; Ziyue Lin; Pengxin Guo; Yuyin Zhou; Feifei Wang; Liangqiong Qu (CoRR, 2025)

SCING:Towards More Efficient and Robust Person Re-Identification through Selective Cross-modal Prompt Tuning. - Yunfei Xie; Yuxuan Cheng; Juncheng Wu; Haoyu Zhang; Yuyin Zhou; Shoudong Han (CoRR, 2025)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset. - Yuhan Wang; Siwei Yang; Bingchen Zhao; Letian Zhang; Qing Liu 017; Yuyin Zhou; Cihang Xie (CoRR, 2025)

MedVLThinker: Simple Baselines for Multimodal Medical Reasoning. - Xiaoke Huang; Juncheng Wu; Hui Liu 031; Xianfeng Tang; Yuyin Zhou (CoRR, 2025)