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Chensu Xie
Chensu Xie
Weill Cornell Graduate School of Medical Science; Memorial Sloan Kettering Cancer Center
Verified email at med.cornell.edu
Title
Cited by
Cited by
Year
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning.
C Xie, H Muhammad, CM Vanderbilt, R Caso, DVK Yarlagadda, ...
MIDL, 843-856, 2020
402020
VOCA: cell nuclei detection in histopathology images by vector oriented confidence accumulation
C Xie, CM Vanderbilt, A Grabenstetter, TJ Fuchs
International Conference on Medical Imaging with Deep Learning, 527-539, 2019
162019
EPIC-survival: End-to-end part inferred clustering for survival analysis, with prognostic stratification boosting
H Muhammad, C Xie, CS Sigel, M Doukas, L Alpert, AL Simpson, ...
Medical Imaging with Deep Learning, 2021
12*2021
An unexpected INAD PDZ tandem-mediated plcβ binding in Drosophila photo receptors
F Ye, Y Huang, J Li, Y Ma, C Xie, Z Liu, X Deng, J Wan, T Xue, W Liu, ...
Elife 7, e41848, 2018
122018
Computational biomarker predicts lung ICI response via deep learning-driven hierarchical spatial modelling from H&E
C Xie, C Vanderbilt, C Feng, D Ho, G Campanella, J Egger, A Plodkowski, ...
42022
Multi-task learning for dense object detection
C Xie
US Patent App. 17/473,225, 2021
22021
MP77-12 ARTIFICIAL INTELLIGENCE-BASED MORPHOLOGIC MODEL FOR PREDICTION OF IMMUNOTHERAPY RESPONSE IN LOCALLY ADVANCED AND METASTATIC UROTHELIAL CARCINOMA OF THE BLADDER
RS Liao, M Nair, P Jain, C Xie, H Muhammad, W Huang, H Basu, ...
The Journal of Urology 211 (5S), e1257, 2024
2024
MP74-10 AI-BASED RISK-STRATIFICATION TOOL PATHOMIQ_PRAD ANALYZES HISTOPATHOLOGY IMAGES TO ACCURATELY PREDICT METASTASIS IN BLACK MEN AND HELPS DISCOVER CANCER DRIVERS
D Chakravarty, H Muhammad, C Xie, P Jain, R Brody, L Leung, ...
The Journal of Urology 211 (5S), e1196, 2024
2024
AI-based morphologic model for prediction of individual patient response to immune checkpoint inhibitors for bladder cancer.
M Nair, R Liao, P Jain, C Xie, H Muhammad, W Huang, HS Basu, ...
Journal of Clinical Oncology 42 (4_suppl), 686-686, 2024
2024
End-to-end part learning for image analysis
C Xie, H Muhammad, CM Vanderbilt, DVK YARLAGADDA, ...
US Patent App. 18/008,133, 2023
2023
AI-enabled analysis of H&E-stained prostate cancer tissue images: Assessing risk for metastasis prior to apalutamide (APA) treatment of patients with non-metastatic castration …
P Mobadersany, SK Tian, SSF Yip, J Greshock, N Khan, MK Yu, ...
Journal of Clinical Oncology 41 (16_suppl), 5027-5027, 2023
2023
A novel, AI-generated morphologic biomarker to predict prostate cancer recurrence in patients with intermediate risk of progression.
S Nair, H Muhammad, P Jain, C Xie, I Pavlova, R Brody, W Huang, ...
Journal of Clinical Oncology 41 (16_suppl), e17097-e17097, 2023
2023
AI powered-platform to predict gene modifications from prostate and breast cancer whole slide images
W Huang, P Jain, C Xie, H Muhammad, H Basu, G Wilding, R Roy
Cancer Research 83 (7_Supplement), 5408-5408, 2023
2023
Determining scores indicative of times to events from biomedical images
H Muhammad, C Xie
US Patent App. 17/901,203, 2023
2023
At the Cutting Edge of Computational Pathology: From Domain Knowledge Representation to Explorative Modelling
C Xie
Weill Medical College of Cornell University, 2022
2022
Toward Spatial and Quantitative Modelling of Tumor Microenvironment in Whole Slide Histopathology Images
C Feng, DJ Ho, MH Chui, G Campanella, C Xie, C Vanderbilt, TJ Fuchs
2022
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