A frog-inspired swimming robot based on dielectric elastomer actuators. - Yucheng Tang; Lei Qin; Xiaoning Li; Chee-Meng Chew; Jian Zhu 005 (IROS, 2017)

Real-time 3D face modeling based on 3D face imaging. - Shu Zhan; Lele Chang; Jingjing Zhao; Toru Kurihara; Hao Du; Yucheng Tang; Jun Cheng (Neurocomputing, 2017)

More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring. - Haofu Liao; Yucheng Tang; Gareth Funka-Lea; Jiebo Luo 001; Shaohua Kevin Zhou (MICCAI (2), 2018)

Face image retrieval: super-resolution based on sketch-photo transformation. - Shu Zhan; Jingjing Zhao; Yucheng Tang; Zhenzhu Xie (Soft Comput., 2018)

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Aneri B. Balar; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (MLMI@MICCAI, 2019)

Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. - Yucheng Tang; Yuankai Huo; Yunxi Xiong; Hyeonsoo Moon; Albert Assad; Tamara K. Moyo; Michael R. Savona; Richard G. Abramson; Bennett A. Landman (Image Processing, 2019)

Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. - Vishwesh Nath; Ilwoo Lyu; Kurt G. Schilling; Prasanna Parvathaneni; Colin B. Hansen; Yucheng Tang; Yuankai Huo; Vaibhav A. Janve; Yurui Gao; Iwona Stepniewska; Adam W. Anderson; Bennett A. Landman (CoRR, 2019)

Stochastic tissue window normalization of deep learning on computed tomography. - Yuankai Huo; Yucheng Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Shunxing Bao; Smita De; James G. Terry; John Jeffrey Carr; Richard G. Abramson; Bennett A. Landman (CoRR, 2019)

Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. - Lingyan Hao; Shunxing Bao; Yucheng Tang; Riqiang Gao; Prasanna Parvathaneni; Jacob A. Miller; Willa Voorhies; Jewelia Yao; Silvia A. Bunge; Kevin S. Weiner; Bennett A. Landman; Ilwoo Lyu (ISBI, 2020)

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Quinn Stanton Wells; Ashley Spann; James G. Terry; John Jeffrey Carr; Yuankai Huo; Shunxing Bao; Bennett A. Landman (ML-CDS/CLIP@MICCAI, 2020)

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. - Riqiang Gao; Lingfeng Li; Yucheng Tang; Sanja L. Antic; Alexis B. Paulson; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Semi-supervised multi-organ segmentation through quality assurance supervision. - Ho Hin Lee; Yucheng Tang; Olivia Tang; Yuchen Xu 001; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Contrast phase classification with a generative adversarial network. - Yucheng Tang; Ho Hin Lee; Yuchen Xu 001; Olivia Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Yuankai Huo; et al. (Image Processing, 2020)

Validation and optimization of multi-organ segmentation on clinical imaging archives. - Olivia Tang; Yuchen Xu 001; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Outlier guided optimization of abdominal segmentation. - Yuchen Xu 001; Olivia Tang; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Internal-transfer weighting of multi-task learning for lung cancer detection. - Yiyuan Yang; Riqiang Gao; Yucheng Tang; Sanja L. Antic; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Multi-path x-D recurrent neural networks for collaborative image classification. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Neurocomputing, 2020)

Time-distanced gates in long short-term memory networks. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Yuankai Huo; Shunxing Bao; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Medical Image Anal., 2020)

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. - Ali Hatamizadeh; Vishwesh Nath; Yucheng Tang; Dong Yang 005; Holger R. Roth; Daguang Xu (BrainLes@MICCAI (1), 2021)

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Sophie Chiron; Ilwoo Lyu; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (COMPAY@MICCAI, 2021)

Collision Avoidance for Mobile Robots Using Proximity Sensors. - Yucheng Tang; Ilshat Mamaev; Hosam Alagi; Bengt Abel; Björn Hein (ICR, 2021)

Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (ISBI, 2021)

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Ho Hin Lee; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Thomas A. Lasko; Yuankai Huo; Bennett A. Landman (MICCAI (5), 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)

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Michael N. Kammer; Sanja L. Antic; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Yuankai Huo; Bennett A. Landman (Image Processing, 2021)

Construction of a multi-phase contrast computed tomography kidney atlas. - Ho Hin Lee; Yucheng Tang; Kaiwen Xu; Shunxing Bao; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Mattias P. Heinrich; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Image Processing, 2021)

Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans. - Can Luo; James G. Terry; Yucheng Tang; Kaiwen Xu; Pierre P. Massion; Bennett A. Landman; Jeffrey Carr; Yuankai Huo (Image Processing, 2021)

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Zhoubing Xu; Brent V. Savoie; Shunxing Bao; Yuankai Huo; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Bennett A. Landman (Image Processing, 2021)

Development and characterization of a chest CT atlas. - Kaiwen Xu; Riqiang Gao; Mirza S. Khan; Shunxing Bao; Yucheng Tang; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Mattias P. Heinrich; Bennett A. Landman (Image Processing, 2021)

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Bennett A. Landman; Yuankai Huo (CoRR, 2021)

Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. - Riqiang Gao; Mirza S. Khan; Yucheng Tang; Kaiwen Xu; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (CoRR, 2021)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

Body Part Regression With Self-Supervision. - Yucheng Tang; Riqiang Gao; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Shunxing Bao; Ilwoo Lyu; Yuankai Huo; Bennett A. Landman (IEEE Trans. Medical Imaging, 2021)

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. - Yucheng Tang; Dong Yang 005; Wenqi Li 001; Holger R. Roth; Bennett A. Landman; Daguang Xu; Vishwesh Nath; Ali Hatamizadeh (CVPR, 2022)

MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Jia Li 027; Can Cui 006; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Ho Hin Lee; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; Lori A. Coburn; Keith T. Wilson; et al. (MOVI@MICCAI, 2022)

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (MICCAI (8), 2022)

Inpainting missing tissue in multiplexed immunofluorescence imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Qi Yang 004; Xin Yu 002; Sophie Chiron; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (Digital and Computational Pathology, 2022)

Accelerating 2D abdominal organ segmentation with active learning. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Quantification of muscle, bones, and fat on single slice thigh CT. - Qi Yang 004; Xin Yu 010; Ho Hin Lee; Yucheng Tang; Shunxing Bao; Kristofer S. Gravenstein; Ann Zenobia Moore; Sokratis Makrogiannis; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2022)

Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Yan Xu; Qi Yang 004; Xin Yu 010; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Mattias P. Heinrich; Yuankai Huo; et al. (Image Processing, 2022)

Extending the value of routine lung screening CT with quantitative body composition assessment. - Kaiwen Xu; Riqiang Gao; Yucheng Tang; Steve A. Deppen; Kim L. Sandler; Michael N. Kammer; Sanja L. Antic; Fabien Maldonado; Yuankai Huo; Mirza S. Khan; Bennett A. Landman (Image Processing, 2022)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Yucheng Tang; Vishwesh Nath; Dong Yang 005; Andriy Myronenko; Bennett A. Landman; Holger R. Roth; Daguang Xu (WACV, 2022)

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. - Riqiang Gao; Thomas Z. Li; Yucheng Tang; Kaiwen Xu; Mirza S. Khan; Michael N. Kammer; Sanja L. Antic; Stephen Deppen; Yuankai Huo; Thomas A. Lasko; Kim L. Sandler; Fabien Maldonado; et al. (Comput. Biol. Medicine, 2022)

Multi-contrast computed tomography healthy kidney atlas. - Ho Hin Lee; Yucheng Tang; Kaiwen Xu; Shunxing Bao; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Mattias P. Heinrich; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Comput. Biol. Medicine, 2022)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 2022)

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. - Ho Hin Lee; Yucheng Tang; Riqiang Gao; Qi Yang 004; Xin Yu 010; Shunxing Bao; James G. Terry; John Jeffrey Carr; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. - Riqiang Gao; Thomas Z. Li; Yucheng Tang; Zhoubing Xu; Michael N. Kammer; Sanja L. Antic; Kim L. Sandler; Fabien Maldonado; Thomas A. Lasko; Bennett A. Landman (CoRR, 2022)

Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. - Ho Hin Lee; Yucheng Tang; Han Liu; Yubo Fan; Leon Y. Cai; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Design and Analysis of a Novel Swimming Mechanism Inspired from Frogs. - Yucheng Tang; Xiaolong Yang; Wei Liu; Lizhi Qi; Yan Wang 017; Yulin Wang 004 (J. Intell. Robotic Syst., 2022)

Towards Flexible Manufacturing: Motion Generation Concept for Coupled Multi-Robot Systems. - Yucheng Tang; Wei Shen; Ilshat Mamaev; Björn Hein (CASE, 2023)

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. - Zhifan Jiang; Abhijeet Parida; Syed Muhammad Anwar; Yucheng Tang; Holger R. Roth; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (EMBC, 2023)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. - Jie Liu 044; Yixiao Zhang 001; Jieneng Chen; Junfei Xiao; Yongyi Lu; Bennett A. Landman; Yixuan Yuan; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (ICCV, 2023)

Reachability-Aware Collision Avoidance for Tractor-Trailer System with Non-Linear MPC and Control Barrier Function. - Yucheng Tang; Ilshat Mamaev; Jing Qin; Christian Wurll; Björn Hein (IROS, 2023)

Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. - Can Cui 006; Yaohong Wang; Shunxing Bao; Yucheng Tang; Ruining Deng; Lucas W. Remedios; Zuhayr Asad; Joseph T. Roland; Ken S. Lau; Qi Liu 024; Lori A. Coburn; Keith T. Wilson; et al. (MILLanD@MICCAI, 2023)

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. - Ruining Deng; Yanwei Li; Peize Li; Jiacheng Wang; Lucas W. Remedios; Saydolimkhon Agzamkhodjaev; Zuhayr Asad; Quan Liu 002; Can Cui 006; Yaohong Wang; Yihan Wang; Yucheng Tang; et al. (MICCAI (6), 2023)

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. - Yufan He; Vishwesh Nath; Dong Yang 005; Yucheng Tang; Andriy Myronenko; Daguang Xu (MICCAI (4), 2023)

PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images. - Yucheng Tang; Yipeng Hu; Jing Li; Hu Lin; Xiang Xu; Ke Huang; Hongxiang Lin (MICCAI (2), 2023)

Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. - Shunxing Bao; Can Cui 006; Jia Li 027; Yucheng Tang; Ho Hin Lee; Ruining Deng; Lucas W. Remedios; Xin Yu 010; Qi Yang 004; Sophie Chiron; Nathan Heath Patterson; Ken S. Lau; et al. (Digital and Computational Pathology, 2023)

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Riqiang Gao; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2023)

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. - Cailey I. Kerley; Leon Y. Cai; Yucheng Tang; Lori L. Beason-Held; Susan M. Resnick; Laurie E. Cutting; Bennett A. Landman (Image Processing, 2023)

Unsupervised registration refinement for generating unbiased eye atlas. - Ho Hin Lee; Yucheng Tang; Shunxing Bao; Qi Yang 004; Xin Yu 010; Kevin L. Schey; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (Image Processing, 2023)

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. - Thomas Z. Li; Kaiwen Xu; Riqiang Gao; Yucheng Tang; Thomas A. Lasko; Fabien Maldonado; Kim L. Sandler; Bennett A. Landman (Image Processing, 2023)

Deep whole brain segmentation of 7T structural MRI. - Karthik Ramadass; Xin Yu 010; Leon Y. Cai; Yucheng Tang; Shunxing Bao; Cailey I. Kerley; Micah D'Archangel; Laura A. Barquero; Allen T. Newton; Isabel Gauthier; Rankin W. McGugin; Benoit M. Dawant; et al. (Image Processing, 2023)

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (NeurIPS, 2023)

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. - Ruining Deng; Can Cui 006; Quan Liu 002; Tianyuan Yao; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Lee E. Wheless; Lori A. Coburn; Keith T. Wilson; Yaohong Wang; Shilin Zhao; et al. (CoRR, 2023)

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (CoRR, 2023)

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. - Ruining Deng; Yanwei Li; Peize Li; Jiacheng Wang; Lucas W. Remedios; Saydolimkhon Agzamkhodjaev; Zuhayr Asad; Quan Liu 002; Can Cui 006; Yucheng Tang; Haichun Yang; Yuankai Huo (CoRR, 2023)

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. - Yinchi Zhou; Ho Hin Lee; Yucheng Tang; Xin Yu 010; Qi Yang 004; Shunxing Bao; Jeffrey M. Spraggins; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Can Cui 006; Ruining Deng; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Lucas W. Remedios; Yucheng Tang; Yuankai Huo (CoRR, 2023)

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. - Haoju Leng; Ruining Deng; Shunxing Bao; Dazheng Fang; Bryan A. Millis; Yucheng Tang; Haichun Yang; Xiao Wang 004; Yifan Peng 002; Lipeng Wan; Yuankai Huo (CoRR, 2023)

Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning. - Xueyuan Li; Ruining Deng; Yucheng Tang; Shunxing Bao; Haichun Yang; Yuankai Huo (CoRR, 2023)

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2023)

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. - Jun Li 103; Junyu Chen 002; Yucheng Tang; Ce Wang; Bennett A. Landman; S. Kevin Zhou (Medical Image Anal., 2023)

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. - Ho Hin Lee; Yucheng Tang; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Yuankai Huo (IEEE J. Biomed. Health Informatics, 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; Yinchi Zhou; Leon Y. Cai; Riqiang Gao; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; Zizhao Zhang; et al. (Medical Image Anal., 2023)

Enhancing Logistics Automation: Integrating Capacitive Proximity and Tactile Sensors for Trolley Pose and Center of Mass Estimation. - Yucheng Tang; Ilshat Mamaev; Björn Hein (CASE, 2024)

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jialin Yue; Juming Xiong; Lining Yu; Yifei Wu; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; et al. (CVPR, 2024)

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Juming Xiong; Shunxing Bao; Hao Li; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; Haichun Yang; et al. (MICCAI (4), 2024)

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. - Jeya Maria Jose Valanarasu; Yucheng Tang; Dong Yang 005; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Vishal M. Patel; Bennett Allan Landman; Daguang Xu; Yufan He; Vishwesh Nath (MIDL, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. - Ho Hin Lee; Adam M. Saunders; Michael E. Kim; Samuel W. Remedios; Yucheng Tang; Qi Yang 004; Xin Yu 010; Shunxing Bao; Chloe Cho; Louise A. Mawn; Tonia S. Rex; Kevin L. Schey; et al. (CoRR, 2024)

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. - Quan Liu 002; Ruining Deng; Can Cui 006; Tianyuan Yao; Vishwesh Nath; Yucheng Tang; Yuankai Huo (CoRR, 2024)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. - Xin Yu 010; Qi Yang 004; Han Liu; Ho Hin Lee; Yucheng Tang; Lucas W. Remedios; Michael E. Kim; Shunxing Bao; Ann Xenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Daguang Xu; Wenqi Li 001 (CoRR, 2024)

Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning. - Shiru Wang; Yao Chen; Lesley A. Jarvis; Yucheng Tang; David J. Gladstone; Kimberley S. Samkoe; Brian W. Pogue; Petr Bruza; Rongxiao Zhang (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

ETA-IK: Execution-Time-Aware Inverse Kinematics for Dual-Arm Systems. - Yucheng Tang; Xi Huang; Yongzhou Zhang; Tao Chen; Ilshat Mamaev; Björn Hein (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)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. - Jie Liu 044; Yixiao Zhang 001; Kang Wang 004; Mehmet Can Yavuz; Xiaoxi Chen; Yixuan Yuan; Haoliang Li; Yang Yang 009; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (Medical Image Anal., 2024)

Human-robot interactions in autonomous hospital transports. - Andreas Zachariae; Frederik Plahl; Yucheng Tang; Ilshat Mamaev; Björn Hein; Christian Wurll (Robotics Auton. Syst., 2024)

Efficient 3D Representation Learning for Medical Image Analysis. - Yucheng Tang; Jie Liu 044; Zongwei Zhou; Xin Yu 010; Yuankai Huo (World Sci. Annu. Rev. Artif. Intell., 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Evaluation of the Human-Like Robotic Touch: A User Study. - Yucheng Tang; Tara Chand; Ilshat Mamaev; Björn Hein; Ilona Croy (ICORR, 2025)

MAISI: Medical AI for Synthetic Imaging. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Ziyue Xu 001; Vishwesh Nath; Yucheng Tang; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (WACV, 2025)

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Wenxuan Li; Pedro R. A. S. Bassi; Tianyu Lin; Yu-Cheng Chou; Xinze Zhou; Yucheng Tang; Fabian Isensee; Kang Wang 004; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; et al. (CoRR, 2025)

Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines. - Chongyu Qu; Ritchie Zhao; Ye Yu; Bin Liu; Tianyuan Yao; Junchao Zhu; Bennett A. Landman; Yucheng Tang; Yuankai Huo (CoRR, 2025)

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. - Ruining Deng; Tianyuan Yao; Yucheng Tang; Junlin Guo; Siqi Lu; Juming Xiong; Lining Yu; Quan Huu Cap; Pengzhou Cai; Libin Lan; Ze Zhao; Adrian Galdran; et al. (CoRR, 2025)

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics. - Junchao Zhu; Ruining Deng; Tianyuan Yao; Juming Xiong; Chongyu Qu; Junlin Guo; Siqi Lu; Yucheng Tang; Daguang Xu; Mengmeng Yin; Yu Wang; Shilin Zhao; et al. (CoRR, 2025)

Interactive Tumor Progression Modeling via Sketch-Based Image Editing. - Gexin Huang; Ruinan Jin; Yucheng Tang; Can Zhao 001; Tatsuya Harada; Xiaoxiao Li; Gu Lin (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)

IRS: Incremental Relationship-guided Segmentation for Digital Pathology. - Ruining Deng; Junchao Zhu; Juming Xiong; Can Cui 006; Tianyuan Yao; Junlin Guo; Siqi Lu; Marilyn Lionts; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; et al. (CoRR, 2025)

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning. - Hongyi Zhou; Weiran Liao; Xi Huang; Yucheng Tang; Fabian Otto; Xiaogang Jia; Xinkai Jiang; Simon Hilber; Ge Li; Qian Wang; Ömer Erdinç Yagmurlu; Nils Blank; et al. (CoRR, 2025)

PanTS: The Pancreatic Tumor Segmentation Dataset. - Wenxuan Li; Xinze Zhou; Qi Chen; Tianyu Lin; Pedro R. A. S. Bassi; Szymon Plotka; Jaroslaw B. Cwikla; Xiaoxi Chen; Chen Ye; Zheren Zhu; Kai Ding; Heng Li; et al. (CoRR, 2025)

Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications. - Yucheng Tang; Yunguan Fu; Weixi Yi; Yipei Wang; Daniel C. Alexander; Rhodri Davies; Yipeng Hu (CoRR, 2025)

MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement Learning. - Xi Huang; Hongyi Zhou; Ge Li; Yucheng Tang; Weiran Liao; Björn Hein; Tamim Asfour; Rudolf Lioutikov (CoRR, 2025)

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss. - Can Zhao 001; Pengfei Guo; Dong Yang 005; Yucheng Tang; Yufan He; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)

Impact of Clinical Image Quality on Efficient Foundation Model Finetuning. - Yucheng Tang; Pawel Rajwa; Alexander Ng; Yipei Wang; Wen Yan; Natasha Thorley; Aqua Asif; Clare Allen; Louise Dickinson; Francesco Giganti; Shonit Punwani; Daniel C. Alexander; et al. (CoRR, 2025)

Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning. - Junchao Zhu; Ruining Deng; Junlin Guo; Tianyuan Yao; Juming Xiong; Chongyu Qu; Mengmeng Yin; Yu Wang; Shilin Zhao; Haichun Yang; Daguang Xu; Yucheng Tang; et al. (CoRR, 2025)

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model. - Xueyuan Li; Can Cui 006; Ruining Deng; Yucheng Tang; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Naweed Chowdhury; Haichun Yang; Yuankai Huo (CoRR, 2025)