Chad M. Vanderbilt

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. CoRR Gabriele Campanella, Shengjia Chen, Ruchika Verma, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Kuan-Lin Huang, Ricky Kwan, Jane Houldsworth, Adam Schoenfeld, Chad M. Vanderbilt
2024	J	`jnl`	Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. CoRR Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam Schoenfeld, Kuan-Lin Huang, Jane Houldsworth, Chad M. Vanderbilt, Thomas J. Fuchs
2024	J	`jnl`	Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling. CoRR Gabriele Campanella, Eugene Fluder, Jennifer Zeng, Chad M. Vanderbilt, Thomas J. Fuchs
2023	J	`jnl`	Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images. CoRR Gabriele Campanella, Ricky Kwan, Eugene Fluder, Jennifer Zeng, Aryeh Stock, Brandon Veremis, Alexandros D. Polydorides, Cyrus Hedvat, Adam Schoenfeld, Chad M. Vanderbilt, Patricia H. Kovatch, Carlos Cordon-Cardo, Thomas J. Fuchs
2022	J	`jnl`	Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation. CoRR David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Ji Won Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs
2022	J	`jnl`	Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. CoRR 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
2022	J	`jnl`	H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs
2021	J	`jnl`	Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center. J. Am. Medical Informatics Assoc. 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
2021	—	`conf`	Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss. MIDL Chao Feng, Chad M. Vanderbilt, Thomas J. Fuchs
2020	—	`conf`	Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning. MIDL Chensu Xie, Hassan Muhammad, Chad M. Vanderbilt, Raul Caso, Dig Vijay Kumar Yarlagadda, Gabriele Campanella, Thomas J. Fuchs
2020	—	`conf`	Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. MICCAI (5) David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs
2020	J	`jnl`	Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. CoRR David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs
2019	—	`conf`	VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation. MIDL Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs