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Xiangxue Wang
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2020 – today
- 2024
- [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) - 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 Fahrettin Koyuncu
, Germán Corredor
, Prateek Prasanna
, Patrick Leo, Xiangxue Wang
, Andrew Janowczyk, Kaustav Bera, James Lewis, 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, Edgar Eduardo Romero Castro:
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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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