Jiancheng Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
7
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | AortaDiff: A Unified Multitask Diffusion Framework for Contrast-Free AAA Imaging. | Yuxuan Ou, Ning Bi, Jiazheng Pan, Jiancheng Yang, Boliang Yu, Usama Zidan, Regent Lee, Vicente Grau |
| 2025 | ICLR | LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models. | Hantao Zhang, Yuhe Liu, Jiancheng Yang, Shouhong Wan, Xinyuan Wang, Wei Peng, Pascal Fua |
| 2025 | MICCAI | Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling. | Hieu Le, Jingyi Xu, Nicolas Talabot, Jiancheng Yang, Pascal Fua |
| 2025 | MICCAI | DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion. | Hantao Zhang, Yuhe Liu, Jiancheng Yang, Weidong Guo, Xinyuan Wang, Pascal Fua |
| 2024 | MICCAI | Generating Anatomically Accurate Heart Structures via Neural Implicit Fields. | Jiancheng Yang, Ekaterina Sedykh, Jason Ken Adhinarta, Hieu Le, Pascal Fua |
| 2024 | MICCAI | Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance. | Weiyi Zhang, Siyu Huang, Jiancheng Yang, Ruoyu Chen, Zongyuan Ge, Yingfeng Zheng, Danli Shi, Mingguang He |
| 2023 | IJCNN | Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions. | Xiaohuan Kuang, Kang Yuan, Bo Du, Jiancheng Yang |
| 2023 | MICCAI | Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. | Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du |
| 2023 | MICCAI | Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. | Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai |
| 2022 | CVPR | ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. | Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua |
| 2022 | ICLR | Representation-Agnostic Shape Fields. | Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang |
| 2022 | MICCAI | What Makes for Automatic Reconstruction of Pulmonary Segments. | Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang |
| 2022 | MICCAI | Weakly Supervised Volumetric Image Segmentation with Deformed Templates. | Udaranga Wickramasinghe, Patrick M. Jensen, Mian Shah, Jiancheng Yang, Pascal Fua |
| 2022 | MICCAI | LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. | Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. | Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang, Fei Liao, Shuo Li |
| 2021 | CVPR | 3D Human Action Representation Learning via Cross-View Consistency Pursuit. | Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang |
| 2021 | ICCV | Shape Self-Correction for Unsupervised Point Cloud Understanding. | Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, Qi Tian |
| 2021 | MICCAI | RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. | Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni |
| 2021 | MICCAI | Asymmetric 3D Context Fusion for Universal Lesion Detection. | Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni |
| 2020 | CVPR | Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. | Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, Wenjun Zhang |
| 2020 | ICPR | Stochastic Label Refinery: Toward Better Target Label Distribution. | Xi Fang, Jiancheng Yang, Bingbing Ni |
| 2020 | MICCAI | Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules. | Yamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu |
| 2020 | MICCAI | MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. | Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. | Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni |
| 2019 | CVPR | Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. | Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian |
| 2019 | ICCV | Dynamic Points Agglomeration for Hierarchical Point Sets Learning. | Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang, Qi Tian |
| 2019 | MICCAI | Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. | Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li |