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Xiangxue Wang
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2020 – today
- 2024
- [c11]Abu Bakor Hayat Arnob, Xiangxue Wang, Yiping Jiao, Xiao Gan, Wenlong Ming, Jun Xu:
Pathological Primitive Segmentation based on Visual Foundation Model with Zero-Shot Mask Generation. ISBI 2024: 1-4 - [i1]Abu Bakor Hayat Arnob, Xiangxue Wang, Yiping Jiao, Xiao Gan, Wenlong Ming, Jun Xu:
Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask Generation. CoRR abs/2404.08584 (2024) - 2023
- [c10]Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi:
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. Digital and Computational Pathology 2023 - 2022
- [j5]Haoda Lu, Min Zang, Gabriel Pik Liang Marini, Xiangxue Wang, Yiping Jiao, Nianfei Ao, Kok Haur Ong, Xinmi Huo, Longjie Li, Eugene Yujun Xu, Wilson Wen Bin Goh, Weimiao Yu, Jun Xu:
A novel pipeline for computerized mouse spermatogenesis staging. Bioinform. 38(23): 5307-5314 (2022) - [j4]Jiawei Xie, Xiaohong Pu, Jian He, Yudong Qiu, Cheng Lu, Wei Gao, Xiangxue Wang, Haoda Lu, Jiong Shi, Yuemei Xu, Anant Madabhushi, Xiangshan Fan, Jun Chen, Jun Xu:
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Comput. Biol. Medicine 146: 105520 (2022) - [e1]Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Xiangxue Wang, Adam P. Harrison, Ziyue Xu:
Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13578, Springer 2022, ISBN 978-3-031-16960-1 [contents] - 2021
- [j3]Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi:
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. 68: 101903 (2021) - [j2]Jun Xu, Haoda Lu, Haixin Li, Chaoyang Yan, Xiangxue Wang, Min Zang, Dirk G. de Rooij, Anant Madabhushi, Eugene Yujun Xu:
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. Medical Image Anal. 70: 101835 (2021) - [c9]Hanzhao Qiu, Weining Fang, Haifeng Bao, Xiangxue Wang:
A Feasibility Study of Virtual Reality Technology in Guidance Design of Underground Space. AHFE (3) 2021: 605-613 - 2020
- [j1]Chaoyang Yan, Kazuaki Nakane, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu:
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. 194: 105528 (2020)
2010 – 2019
- 2019
- [c8]Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang:
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. ECDP 2019: 100-108 - [c7]Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu:
Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule. ECDP 2019: 117-124 - [c6]Cristian Barrera, Germán Corredor, Xiangxue Wang, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero Castro:
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Digital Pathology 2019: 1095607 - 2018
- [c5]Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi:
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) 2018: 407-416 - [c4]Germán Corredor, Xiangxue Wang, Cheng Lu, Vamsidhar Velcheti, Eduardo Romero, Anant Madabhushi:
A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. Digital Pathology 2018: 105810R - [c3]Pranjal Vaidya, Xiangxue Wang, Kaustav Bera, Arjun Khunger, Humberto Choi, Pradnya Patil, Vamsidhar Velcheti, Anant Madabhushi:
RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. Digital Pathology 2018: 105810M - 2017
- [c2]Paula Toro, Germán Corredor, Xiangxue Wang, Viviana Arias, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero:
Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes. SIPAIM 2017: 1057202 - [c1]Juan D. García-Arteaga, Germán Corredor, Xiangxue Wang, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero:
A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images. SIPAIM 2017: 1057203
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