Jiahui Li

According to our database, Jiahui Li authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Predicting cancer outcomes from whole slide images via hybrid supervision learning.

Xianying He, Jiahui Li, Fang Yan, Linlin Wang, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Shaoting Zhang, Jie Zhao

Neurocomputing, November, 2023

2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang

Medical Image Anal., 2022

2021

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.

Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li

IEEE J. Biomed. Health Informatics, 2021

Large-scale gastric cancer screening and localization using multi-task deep neural network.

Hong Yu, Xiaofan Zhang, Lingjun Song, Liren Jiang, Xiaodi Huang, Wen Chen, Chenbin Zhang, Jiahui Li, Jiji Yang, Zhiqiang Hu, Qi Duan, Wanyuan Chen, Xianglei He, Jinshuang Fan, Weihai Jiang, Li Zhang, Chengmin Qiu, Minmin Gu, Weiwei Sun, Yangqiong Zhang, Guangyin Peng, Weiwei Shen, Guohui Fu

Neurocomputing, 2021

Mixed Supervision Learning for Whole Slide Image Classification.

Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang

CoRR, 2021

Hybrid Supervision Learning for Pathology Whole Slide Image Classification.

Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

2019

Signet Ring Cell Detection with a Semi-supervised Learning Framework.

Jiahui Li, Shuang Yang, Xiaodi Huang, Qian Da, Xiaoqun Yang, Zhiqiang Hu, Qi Duan, Chaofu Wang, Hongsheng Li

Proceedings of the Information Processing in Medical Imaging, 2019

Accurate Nuclear Segmentation with Center Vector Encoding.

Jiahui Li, Zhiqiang Hu, Shuang Yang

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Left Ventricle Full Quantification Using Deep Layer Aggregation Based Multitask Relationship Learning.

Jiahui Li, Zhiqiang Hu

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018