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Chad M. Vanderbilt
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2020 – today
- 2022
- [i4]David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Ji Won Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs:
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation. CoRR abs/2203.15015 (2022) - [i3]Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker
, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs:
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR abs/2206.10573 (2022) - [i2]David Joon Ho, Narasimhan P. Agaram, Marc-Henri Jean, Stephanie D. Suser, Cynthia Chu, Chad M. Vanderbilt, Paul A. Meyers, Leonard H. Wexler, John H. Healey, Thomas J. Fuchs, Meera R. Hameed:
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. CoRR abs/2208.04910 (2022) - 2021
- [j1]Peter J. Schüffler
, Luke Geneslaw
, Dig Vijay Kumar Yarlagadda
, Matthew G. Hanna
, Jennifer Samboy, Evangelos Stamelos, Chad M. Vanderbilt, John Philip
, Marc-Henri Jean, Lorraine Corsale, Allyne Manzo, Neeraj H. G. Paramasivam, John S. Ziegler, Jianjiong Gao
, Juan C. Perin, Young Suk Kim
, Umeshkumar K. Bhanot
, Michael H. A. Roehrl, Orly Ardon
, Sarah Chiang
, Dilip D. Giri, Carlie S. Sigel
, Lee K. Tan, Melissa Murray
, Christina Virgo, Christine England, Yukako Yagi, S. Joseph Sirintrapun
, David S. Klimstra, Meera R. Hameed
, Victor E. Reuter, Thomas J. Fuchs:
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center. J. Am. Medical Informatics Assoc. 28(9): 1874-1884 (2021) - [c4]Chao Feng, Chad M. Vanderbilt, Thomas J. Fuchs:
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss. MIDL 2021: 179-189 - 2020
- [c3]David Joon Ho
, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. MICCAI (5) 2020: 540-549 - [c2]Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt, Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs:
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. MIDL 2020: 843-856 - [i1]David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. CoRR abs/2007.01383 (2020)
2010 – 2019
- 2019
- [c1]Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs:
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation. MIDL 2019: 527-539
Coauthor Index

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last updated on 2022-12-08 22:11 CET by the dblp team
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