The Research on Controlling Method of Loom Warp Tension. - Lei Wang; Jiancheng Yang; Xiaoqin Han; Lei Li; Yan Liu; Liangchao Cong (ISCID (1), 2009)

2.3 kV Field-Plated Vertical Ga2O3 Schottky Rectifiers and 1 a Forward Current with 650 V Reverse Breakdown Ga2O3 Field-Plated Schottky Barrier Diodes. - Jiancheng Yang; Fan Ren; Marko J. Tadjer; Stephen J. Pearton; Akita Kuramata (DRC, 2018)

Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. - Jiancheng Yang; Qiang Zhang; Bingbing Ni; Linguo Li; Jinxian Liu; Mengdie Zhou; Qi Tian 001 (CVPR, 2019)

A Reconfigurable, Pulse-shaping Potentiometric Readout System for Bio-Sensing Transistors. - Shao-Yung Lu; Siang-Sin Shan; Jiancheng Yang; Chin-Wei Chang; Fan Ren; Jenshan Lin; Stephen J. Pearton; Yu-Te Liao (EMBC, 2019)

Dynamic Points Agglomeration for Hierarchical Point Sets Learning. - Jinxian Liu; Bingbing Ni; Caiyuan Li; Jiancheng Yang; Qi Tian 001 (ICCV, 2019)

Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. - Jiancheng Yang; Rongyao Fang; Bingbing Ni; Yamin Li; Yi Xu 001; Linguo Li (MICCAI (6), 2019)

Adversarial Attack and Defense on Point Sets. - Jiancheng Yang; Qiang Zhang; Rongyao Fang; Bingbing Ni; Jinxian Liu; Qi Tian 001 (CoRR, 2019)

Evaluating and Boosting Uncertainty Quantification in Classification. - Xiaoyang Huang; Jiancheng Yang; Linguo Li; Haoran Deng; Bingbing Ni; Yi Xu 001 (CoRR, 2019)

Reinventing 2D Convolutions for 3D Medical Images. - Jiancheng Yang; Xiaoyang Huang; Bingbing Ni; Jingwei Xu 005; Canqian Yang; Guozheng Xu (CoRR, 2019)

Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. - Jingwei Xu 005; Zhenbo Yu; Bingbing Ni; Jiancheng Yang; Xiaokang Yang 001; Wenjun Zhang 001 (CVPR, 2020)

Stochastic Label Refinery: Toward Better Target Label Distribution. - Xi Fang; Jiancheng Yang; Bingbing Ni (ICPR, 2020)

Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers. - Jiancheng Yang; Haoran Deng; Xiaoyang Huang; Bingbing Ni; Yi Xu 001 (ISBI, 2020)

Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules. - Yamin Li; Jiancheng Yang; Yi Xu; Jingwei Xu 005; Xiaodan Ye; Guangyu Tao; Xueqian Xie; Guixue Liu (MICCAI (6), 2020)

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. - Jiancheng Yang; Jiajun Chen; Kaiming Kuang; Tiancheng Lin 001; Junjun He; Bingbing Ni (MICCAI (2), 2020)

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. - Jiancheng Yang; Mingze Gao; Kaiming Kuang; Bingbing Ni; Yunlang She; Dong Xie; Chang Chen (MICCAI (6), 2020)

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. - Jiancheng Yang; Yi He; Xiaoyang Huang; Jingwei Xu 005; Xiaodan Ye; Guangyu Tao; Bingbing Ni (MICCAI (4), 2020)

Learning Black-Box Attackers with Transferable Priors and Query Feedback. - Jiancheng Yang; Yangzhou Jiang; Xiaoyang Huang; Bingbing Ni; Chenglong Zhao (NeurIPS, 2020)

Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules. - Yamin Li; Jiancheng Yang; Yi Xu; Jingwei Xu; Xiaodan Ye; Guangyu Tao; Xueqian Xie; Guixue Liu (CoRR, 2020)

3D Human Action Representation Learning via Cross-View Consistency Pursuit. - Linguo Li; Minsi Wang; Bingbing Ni; Hang Wang; Jiancheng Yang; Wenjun Zhang 001 (CVPR, 2021)

Shape Self-Correction for Unsupervised Point Cloud Understanding. - Ye Chen; Jinxian Liu; Bingbing Ni; Hang Wang; Jiancheng Yang; Ning Liu; Teng Li 001; Qi Tian 001 (ICCV, 2021)

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. - Jiancheng Yang; Rui Shi; Bingbing Ni (ISBI, 2021)

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. - Jiancheng Yang; Shixuan Gu; Donglai Wei 001; Hanspeter Pfister; Bingbing Ni (MICCAI (1), 2021)

Asymmetric 3D Context Fusion for Universal Lesion Detection. - Jiancheng Yang; Yi He; Kaiming Kuang; Zudi Lin; Hanspeter Pfister; Bingbing Ni (MICCAI (5), 2021)

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. - Jiancheng Yang; Rui Shi; Donglai Wei 001; Zequan Liu; Lin Zhao; Bilian Ke; Hanspeter Pfister; Bingbing Ni (CoRR, 2021)

Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection. - Tiancheng Lin 001; Yuanfan Guo; Canqian Yang; Jiancheng Yang; Yi Xu 001 (Neurocomputing, 2021)

Reinventing 2D Convolutions for 3D Images. - Jiancheng Yang; Xiaoyang Huang; Yi He; Jingwei Xu 005; Canqian Yang; Guozheng Xu; Bingbing Ni (IEEE J. Biomed. Health Informatics, 2021)

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. - Jiancheng Yang; Udaranga Wickramasinghe; Bingbing Ni; Pascal Fua (CVPR, 2022)

Representation-Agnostic Shape Fields. - Xiaoyang Huang; Jiancheng Yang; Yanjun Wang; Ziyu Chen; Linguo Li; Teng Li 001; Bingbing Ni; Wenjun Zhang 001 (ICLR, 2022)

Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. - Dingyi Rong; Jiancheng Yang; Bingbing Ni; Bilian Ke (ISBI, 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)

Weakly Supervised Volumetric Image Segmentation with Deformed Templates. - Udaranga Wickramasinghe; Patrick M. Jensen; Mian Shah; Jiancheng Yang; Pascal Fua (MICCAI (5), 2022)

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. - Rui Xu 031; Yong Luo 002; Bo Du 001; Kaiming Kuang; Jiancheng Yang (MICCAI (1), 2022)

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. - Jiancheng Yang; Rui Shi; Udaranga Wickramasinghe; Qikui Zhu; Bingbing Ni; Pascal Fua (MICCAI (4), 2022)

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. - Qikui Zhu; Yanqing Wang; Lei Yin; Jiancheng Yang; Fei Liao; Shuo Li 001 (MICCAI (4), 2022)

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. - Liang Jin; Shixuan Gu; Donglai Wei 001; Kaiming Kuang; Hanspeter Pfister; Bingbing Ni; Jiancheng Yang; Ming Li 005 (CoRR, 2022)

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions. - Xiaohuan Kuang; Kang Yuan; Bo Du 001; Jiancheng Yang (IJCNN, 2023)

Multi-Task Curriculum Learning for Partially Labeled Data. - Won-Dong Jang; Stanislav Lukyanenko; Donglai Wei 001; Jiancheng Yang; Brian D. Leahy; Helen Y. Yang; Dalit Ben-Yosef; Daniel Needleman; Hanspeter Pfister (ISBI, 2023)

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. - Zhihao Li; Jiancheng Yang; Yongchao Xu; Li Zhang 085; Wenhui Dong; Bo Du 001 (MICCAI (3), 2023)

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. - Ziqiao Weng; Jiancheng Yang; Dongnan Liu; Tom Weidong Cai (MICCAI (7), 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)

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. - Rui Xu 031; Zhi Liu 002; Yong Luo 002; Han Hu 003; Li Shen 008; Bo Du 001; Kaiming Kuang; Jiancheng Yang (CoRR, 2023)

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; 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)

Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling. - Hieu Le 001; Nicolas Talabot; Jiancheng Yang; Pascal Fua (CoRR, 2023)

Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks. - Kangxian Xie; Jiancheng Yang; Donglai Wei 001; Ziqiao Weng; Pascal Fua (CoRR, 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields. - Jiancheng Yang; Ekaterina Sedykh; Jason Ken Adhinarta; Hieu Le 001; Pascal Fua (MICCAI (1), 2024)

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance. - Weiyi Zhang 004; Siyu Huang; Jiancheng Yang; Ruoyu Chen; Zongyuan Ge; Yingfeng Zheng; Danli Shi; Mingguang He (MICCAI (1), 2024)

Two-stage error detection to improve electron microscopy image mosaicking. - Jiahao Shi; Hongyu Ge; Shuohong Wang; Donglai Wei 001; Jiancheng Yang; Ao Cheng; Richard Schalek; Jun Guo; Jeff Lichtman; Lirong Wang; Ruobing Zhang (Comput. Biol. Medicine, 2024)

LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models. - Hantao Zhang; Jiancheng Yang; Shouhong Wan; Pascal Fua (CoRR, 2024)

DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection. - Sihan Shang; Jiancheng Yang; Zhenglong Sun 001; Pascal Fua (CoRR, 2024)

FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures. - Shixuan Gu; Jason Ken Adhinarta; Mikhail Bessmeltsev; Jiancheng Yang; Jessica Zhang 001; Daniel R. Berger; Jeff W. Lichtman; Hanspeter Pfister; Donglai Wei 001 (CoRR, 2024)

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging. - Danli Shi; Weiyi Zhang 004; Xiaolan Chen; Yexin Liu; Jiancheng Yang; Siyu Huang; Yih Chung Tham; Yingfeng Zheng; Mingguang He (CoRR, 2024)

EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis. - Danli Shi; Weiyi Zhang 004; Jiancheng Yang; Siyu Huang; Xiaolan Chen; Mayinuer Yusufu; Kai Jin; Shan Lin; Shunming Liu; Qing Zhang; Mingguang He (CoRR, 2024)

Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model. - Weiyi Zhang 004; Jiancheng Yang; Ruoyu Chen; Siyu Huang; Pusheng Xu; Xiaolan Chen; Shanfu Lu; Hongyu Cao; Mingguang He; Danli Shi (CoRR, 2024)

MedTet: An Online Motion Model for 4D Heart Reconstruction. - Yihong Chen; Jiancheng Yang; Deniz Sayin Mercadier; Hieu Le 001; Pascal Fua (CoRR, 2024)

: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. - Liang Jin; Shixuan Gu; Donglai Wei 001; Jason Ken Adhinarta; Kaiming Kuang; Yongjie Jessica Zhang; Hanspeter Pfister; Bingbing Ni; Jiancheng Yang; Ming Li 005 (IEEE Trans. Medical Imaging, 2024)

GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. - Wei Zhao 040; Weidao Chen; Ge Li; Du Lei; Jiancheng Yang; Yanjing Chen; Yingjia Jiang; Jiangfen Wu; Bingbing Ni; Yeqi Sun; Shaokang Wang; Yingli Sun; et al. (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-task learning for medical foundation models. - Jiancheng Yang (Nat. Comput. Sci., 2024)

LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models. - Hantao Zhang; Yuhe Liu; Jiancheng Yang; Shouhong Wan; Xinyuan Wang; Wei Peng; Pascal Fua (ICLR, 2025)

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields. - Kangxian Xie; Jiancheng Yang; Donglai Wei 001; Ziqiao Weng; Pascal Fua (Medical Image Anal., 2025)

SimTA++: Simple attention neural network for clinical asynchronous time series. - Zhihao Li; Jingyu Li; Kaiming Kuang; Baoyu Jing; Bo Du 001; Fei Liao; Jiancheng Yang (Neural Networks, 2025)

A multimodal visual-language foundation model for computational ophthalmology. - Danli Shi; Weiyi Zhang 004; Jiancheng Yang; Siyu Huang; Xiaolan Chen; Pusheng Xu; Kai Jin; Shan Lin; Jin Wei; Mayinuer Yusufu; Shunming Liu; Qing Zhang; et al. (npj Digit. Medicine, 2025)

Fundus2Globe: Generative AI-Driven 3D Digital Twins for Personalized Myopia Management. - Danli Shi; Bowen Liu; Zhen Tian; Yue Wu; Jiancheng Yang; Ruoyu Chen; Bo Yang; Ou Xiao; Mingguang He (CoRR, 2025)

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion. - Hantao Zhang; Yuhe Liu; Jiancheng Yang; Weidong Guo; Xinyuan Wang; Pascal Fua (CoRR, 2025)

AI-powered virtual eye: perspective, challenges and opportunities. - Yue Wu; Yibo Guo; Yulong Yan; Jiancheng Yang; Xin Zhou; Ching-Yu Cheng; Danli Shi; Mingguang He (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)

Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat. - Pusheng Xu; Xia Gong; Xiaolan Chen; Weiyi Zhang 004; Jiancheng Yang; Bingjie Yan; Meng Yuan; Yalin Zheng; Mingguang He; Danli Shi (CoRR, 2025)

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge. - Jiancheng Yang; Rui Shi; Liang Jin; Xiaoyang Huang; Kaiming Kuang; Donglai Wei 001; Shixuan Gu; Jianying Liu; Pengfei Liu; Zhizhong Chai; Yongjie Xiao; Hao Chen 011; et al. (IEEE Trans. Medical Imaging, 2025)