Ziyan Huang

According to our database, Ziyan Huang authored at least 33 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision.

Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu

CoRR, August, 2025

ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding.

Jianjiang Yang, Ziyan Huang, Yanshu Li

CoRR, July, 2025

RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis.

Yu-Xuan Wu, Ziyan Huang, Bin Hu, Zhi-Hong Guan

CoRR, June, 2025

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis.

Zhongying Deng, Haoyu Wang, Ziyan Huang, Lipei Zhang, Angelica I. Avilés-Rivero, Chaoyu Liu, Junjun He, Zoe Kourtzi, Carola-Bibiane Schönlieb

CoRR, May, 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, Cheng Ouyang, Niccolò McConnell, Alina Dana Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbeláez, Wenying Lu, Wenhao Zhang, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, András Jakab

IEEE Trans. Medical Imaging, March, 2025

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation.

Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

Medical Image Anal., 2025

Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network.

Dexu Wang, Ziyan Huang, Jingyang Zhang, Wei Wu, Zhikai Yang, Lixu Gu

Biomed. Signal Process. Control., 2025

2024

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation.

Jin Ye, Ying Chen, Yanjun Li, Haoyu Wang, Zhongying Deng, Ziyan Huang, Yanzhou Su, Chenglong Ma, Yuanfeng Ji, Junjun He

CoRR, 2024

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.

Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He

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, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge.

Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Ershuai Wang, Qin Zhou, Ziyan Huang, Pengju Lyu, Jian He, Bo Wang

CoRR, 2024

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.

Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Whole-Body Tumor Segmentation with a 5.6M Parameter 3D U-Net.

Ziyan Huang

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies.

Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

SAM-Med3D.

Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao

CoRR, 2023

SAM-Med2D.

Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao

CoRR, 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.

Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, FLARE Challenge Consortium, Bo Wang

CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao

CoRR, 2023

Evaluating STU-Net for Brain Tumor Segmentation.

Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation.

Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

2022

Fast calculation of isostatic compensation correction using the GPU-parallel prism method.

Yan Huang, Qingbin Wang, Minghao Lv, Xingguang Song, Jinkai Feng, Xuli Tan, Ziyan Huang, Chuyuan Zhou

Parallel Comput., 2022

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge.

Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Stern, Edward G. A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang

Medical Image Anal., 2022

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans.

Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He

CoRR, 2022

An evaluation of U-Net in Renal Structure Segmentation.

Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He

CoRR, 2022

AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search.

Ziyan Huang, Zehua Wang, Zhikai Yang, Lixu Gu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.

Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference.

Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

Spine Segmentation with Multi-view GCN and Boundary Constraint.

Dexu Wang, Zhikai Yang, Ziyan Huang, Lixu Gu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2017

An improved EEMD method based on the adjustable cubic trigonometric cardinal spline interpolation.

Di Zhao, Ziyan Huang, Hongyi Li, Jiaxin Chen, Pidong Wang

Digit. Signal Process., 2017