Haichuan Zhang

Publications

The complete list of publications can be viewed on Google Scholar.

Image Inverse Problem:

Zhang H, Biswas R, Kiani M, Monga, V. Domain Enriched Learning for Skull Induced Phase Aberration Correction in Ultrasound Neuromodulation. Under journal review.
Zhao Y, Li Y, Zhang H, Monga V, Eldar YC. Deep, convergent, unrolled half-quadratic splitting for image deconvolution [j]. published in IEEE Transactions on Computational Imaging. (Link: https://doi.org/10.1109/TCI.2024.3377132)
Zhao Y, Li Y, Zhang H, Monga V, Eldar YC. A convergent neural network for non-blind image deblurring[C] in 2023 IEEE International Conference on Image Processing (ICIP) 2023 Oct 8 (pp. 1505-1509). IEEE. (Link: https://doi.org/10.1109/ICIP49359.2023.10222656)
Hoang T, Zhang H, Yazdani A, Monga V. TransER: Hybrid Model and Ensemble-Based Sequential Learning for Non-Homogenous Dehazing[C] in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 (pp. 1670-1679). (Link: https://doi.org/10.1109/cvprw59228.2023.00168)
Conde MV, Kolmet M, Seizinger T, et al. Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report[C] in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 (pp. 1643-1659). (Link: https://doi.org/10.1109/CVPRW59228.2023.00166)
Ancuti CO, Ancuti C, Vasluianu FA, et al. NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report[C] in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 (pp. 1808-1824). (Link: https://doi.org/10.1109/CVPRW59228.2023.00180)

Medical Image Problem:

Gao Z, Shi J, Zhang X, Li Y, Zhang H, Wu J, et al. Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network[C] in 2021 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).2021. (Link: https://doi.org/10.1007/978-3-030-87237-3_13）
Wu J, Mao A, Bao X, Zhang H, Gao Z, Wang C, Gong T, Li C. Pimip: An open source platform for pathology information management and integration[C] in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021 Dec 9 (pp. 2088-2095). IEEE. (Link: https://doi.org/10.1109/BIBM52615.2021.9669424)
Wu J, Zhang R, Gong T, Bao X, Gao Z, Zhang H, Wang C, Li C. A precision diagnostic framework of renal cell carcinoma on whole-slide images using deep learning[C] in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021 Dec 9 (pp. 2104-2111). IEEE. (Link: https://doi.org/10.1109/BIBM52615.2021.9669870)
Wu J, Zhang R, Gong T, Zhang H, Wang C, Li C. A personalized diagnostic generation framework based on multi-source heterogeneous data[C] in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021 Dec 9 (pp. 2096-2103). IEEE. (Link: https://10.1109/BIBM52615.2021.9669427)
Wu J, Tang K, Zhang H, et al. Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network[C] in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2020 Dec 16 (pp. 2395-2402). IEEE. (Link: https://doi.org/10.1109/BIBM49941.2020.9313347)
Shi J, Gao Z, Zhang H, et al. Effects of annotation granularity in deep learning models for histopathological images[C], published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019 Nov 18 (pp. 2702-2708). IEEE. (Link: https://doi.org/10.1109/BIBM47256.2019.8983158)
Puttapirat P, Zhang H, Deng J, et al. OpenHI2—Open source histopathological image platform[C], published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019 Nov 18 (pp. 2696-2701). IEEE. (Link: https://doi.org/10.1109/BIBM47256.2019.8983322)
Puttapirat P, Zhang H, Deng J, et al., OpenHI: Open Platform for Histopathological Image Annotation [J], published in International Journal of Data Mining and Bioinformatics, 2019, 22(4): 328-349. (Link: https://doi.org/10.1504/IJDMB.2019.101393)
Puttapirat P, Zhang H, Lian Y, et al. OpenHI-An open source framework for annotating histopathological image[C], published in 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2018 Dec 3 (pp. 1076-1082). IEEE. (Link: https://doi.org/10.1109/BIBM.2018.8621393)

Patent

Li C, Puttapirat P, Zhang H, inventors; Xian Jiaotong University, assignee. Cloud-based large-scale pathological image collaborative annotation method and system. United States patent, US 11392634, Issued on Jul 19, 2022.
李辰，帕戈姆·普塔皮拉特，张海川，基于云端的大型病理学图像协作注释方法及系统， Chinese patent, CN 109949907, Issued on Jul 13, 2021.
李辰，吴佳伦，高泽宇，张海川，帕戈姆·普塔皮拉特，一种病理图像预后特征权重计算方法及系统，Chinese patent, CN 109949907, Filled on Jul 19, 2022.