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Thomas J. Fuchs

icahn school of medicine at mount sinai

38H-index
175Paper Count
8.6KCitation Count
Published Papers 41
Publication Date
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A Flexible Deep Learning Framework for Survival Analysis with Medical Data
errMEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT XV
IF0
err2026-01-01
err0
PREAI
errCampanella, Gabriele; Haggstrom, Ida; Kook, Lucas; Hothorn, Torsten; Fuchs, Thomas J.
errShare
errSave
Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning
errFAIRNESS OF AI IN MEDICAL IMAGING, FAIMI 2025
IF0
err2026-01-01
err0
PREAI
errChen, Shengjia; Verma, Ruchika; Clare, Kevin; Jegminat, Jannes; Alleva, Eugenia; Huang, Kuan-Lin; Veremis, Brandon; Fuchs, Thomas; Campanella, Gabriele
errShare
errSave
Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models
errBMC WOMENS HEALTH
IF2.7
err2025-12-11
err0
PREAI
errTricoche, Bryan T.; Caceres, Billy A.; Shaw, Leslee J.; Garber, Carol Ewing; Konigorski, Stefan; Kolli, Sahiti; Fuchs, Thomas J.; Ensari, Ipek
errShare
errSave
Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole Slide Images for Objective Grading, STAS Identification, and Mutation Prediction
errModern Pathology
IF5.5
err2025-10-10
err0
PREAI
errDavid Joon Ho; Jason C. Chang; Rania G. Aly; Hai Cao Truong Nguyen; Prasad S. Adusumilli; Thomas J. Fuchs; William D. Travis; Chad M. Vanderbilt
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errSave
Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection
errNature Medicine
IF50
err2025-07-09
err0
errOAAI
errGabriele Campanella; Neeraj Kumar; Swaraj Nanda; Siddharth Singi; Eugene Fluder; Ricky Kwan; Silke Muehlstedt; Nicole Pfarr; Peter J. Schüffler; Ida Häggström; Noora Neittaanmäki; Levent M. Akyürek; Alina Basnet; Tamara Jamaspishvili; Michel R. Nasr; Matthew M. Croken; Fred R. Hirsch; Arielle Elkrief; Helena Yu; Orly Ardon; Gregory M. Goldgof; Meera Hameed; Jane Houldsworth; Maria Arcila; Thomas J. Fuchs; Chad Vanderbilt
errShare
errSave
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives
errAnnals of Oncology
IF65.4
err2025-04-29
err0
errOAAI
errA. Marra; S. Morganti; F. Pareja; G. Campanella; F. Bibeau; T. Fuchs; M. Loda; A. Parwani; A. Scarpa; J.S. Reis-Filho; G. Curigliano; C. Marchiò; J.N. Kather
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errSave
Designing a CXCL8-hsa chimera as potential immunmodulator of the tumor micro-environment
errFRONTIERS IN IMMUNOLOGY
IF5.9
err2025-03-07
err0
errOAAI
errGerlza, Tanja; Trojacher, Christina; Fuchs, Thomas; Atlic, Aid; Weis, Roland; Adage, Tiziana; Kungl, Andreas J.
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errSave
A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms
errCANCER RESEARCH
IF16.6
err2024-08-06
err0
PREAI
errPareja, Fresia; Dopeso, Higinio; Wang, Yi Kan; Gazzo, Andrea M.; Brown, David N.; Banerjee, Monami; Selenica, Pier; Bernhard, Jan H.; Derakhshan, Fatemeh; da Silva, Edaise M.; Colon-Cartagena, Lorraine; Basili, Thais; Marra, Antonio; Sue, Jillian; Ye, Qiqi; Paula, Arnaud Da Cruz; Yildirim, Selma Yeni; Pei, Xin; Safonov, Anton; Green, Hunter; Gill, Kaitlyn Y.; Zhu, Yingjie; Lee, Matthew C. H.; Godrich, Ran A.; Casson, Adam; Weigelt, Britta; Riaz, Nadeem; Wen, Hannah Y.; Brogi, Edi; Mandelker, Diana L.; Hanna, Matthew G.; Kunz, Jeremy D.; Rothrock, Brandon; Chandarlapaty, Sarat; Kanan, Christopher; Oakley, Joe; Klimstra, David S.; Fuchs, Thomas J.; Reis-Filho, Jorge S.
errShare
errSave
Deep learning for [18F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis
errLANCET DIGITAL HEALTH
IF24.1
err2024-02-01
err3
errOAAI
errHaggstrom, Ida; Leithner, Doris; Alven, Jennifer; Campanella, Gabriele; Abusamra, Murad; Zhang, Honglei; Chhabra, Shalini; Beer, Lucian; Haug, Alexander; Salles, Gilles; Raderer, Markus; Staber, Philipp B.; Becker, Anton; Hricak, Hedvig; Fuchs, Thomas J.; Schoeder, Heiko; Mayerhoefer, Marius E.
errShare
errSave
Machine learning approaches based on fibroblast morphometry do not predict ALS
errNEUROBIOLOGY OF AGING
IF3.5
err2023-10-01
err1
PREAI
errWoo, Evan; Bredvik, Kirsten; Liu, Bangyan; Fuchs, Thomas J.; Manfredi, Giovanni; Konrad, Csaba
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errSave
Interpretable deep learning of myelin histopathology in age-related cognitive impairment
errACTA NEUROPATHOLOGICA COMMUNICATIONS
IF5.7
err2022-09-21
err16
errOAAI
errMcKenzie, Andrew T.; Marx, Gabriel A.; Koenigsberg, Daniel; Sawyer, Mary; Iida, Megan A.; Walker, Jamie M.; Richardson, Timothy E.; Campanella, Gabriele; Attems, Johannes; McKee, Ann C.; Stein, Thor D.; Fuchs, Thomas J.; White, Charles L., III; Farrell, Kurt; Crary, John F.
errShare
errSave
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
errJOURNAL OF INVESTIGATIVE DERMATOLOGY
IF5.7
err2022-01-01
err30
errOAAI
errCampanella, Gabriele; Navarrete-Dechent, Cristian; Liopyris, Konstantinos; Monnier, Jilliana; Aleissa, Saud; Minhas, Brahmteg; Scope, Alon; Longo, Caterina; Guitera, Pascale; Pellacani, Giovanni; Kose, Kivanc; Halpern, Allan C.; Fuchs, Thomas J.; Jain, Manu
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errSave
A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections
errJOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY
IF11.8
err2021-11-01
err11
errOAAI
errCampanella, Gabriele; Nehal, Kishwer S.; Lee, Erica H.; Rossi, Anthony; Possum, Brandon; Manuel, Genna; Fuchs, Thomas J.; Busam, Klaus J.
errShare
errSave
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens
errMODERN PATHOLOGY
IF5.5
err2021-08-01
err16
errOAAI
errD'Alfonso, Timothy M.; Ho, David Joon; Hanna, Matthew G.; Grabenstetter, Anne; Yarlagadda, Dig Vijay Kumar; Geneslaw, Luke; Ntiamoah, Peter; Fuchs, Thomas J.; Tan, Lee K.
errShare
errSave
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
errCOMPUTERIZED MEDICAL IMAGING AND GRAPHICS
IF4.9
err2021-03-01
err76
errOAAI
errHo, David Joon; Yarlagadda, Dig V. K.; D'Alfonso, Timothy M.; Hanna, Matthew G.; Grabenstetter, Anne; Ntiamoah, Peter; Brogi, Edi; Tan, Lee K.; Fuchs, Thomas J.
errShare
errSave
Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media
errMODERN PATHOLOGY
IF5.5
err2020-11-01
err32
errOAAI
errSchaumberg, Andrew J.; Juarez-Nicanor, Wendy C.; Choudhury, Sarah J.; Pastrian, Laura G.; Pritt, Bobbi S.; Prieto Pozuelo, Mario; Sotillo Sanchez, Ricardo; Ho, Khanh; Zahra, Nusrat; Sener, Betul Duygu; Yip, Stephen; Xu, Bin; Annavarapu, Srinivas Rao; Morini, Aurelien; Jones, Karra A.; Rosado-Orozco, Kathia; Mukhopadhyay, Sanjay; Miguel, Carlos; Yang, Hongyu; Rosen, Yale; Ali, Rola H.; Folaranmi, Olaleke O.; Gardner, Jerad M.; Rusu, Corina; Stayerman, Celina; Gross, John; Suleiman, Dauda E.; Sirintrapun, S. Joseph; Aly, Mariam; Fuchs, Thomas J.
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errSave
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
errMODERN PATHOLOGY
IF5.5
err2020-10-01
err106
errOAAI
errRaciti, Patricia; Sue, Jillian; Ceballos, Rodrigo; Godrich, Ran; Kunz, Jeremy D.; Kapur, Supriya; Reuter, Victor; Grady, Leo; Kanan, Christopher; Klimstra, David S.; Fuchs, Thomas J.
errShare
errSave
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
errNATURE MEDICINE
IF50
err2019-07-15
err1.4K
errOAAI
errCampanella, Gabriele; Hanna, Matthew G.; Geneslaw, Luke; Miraflor, Allen; Silva, Vitor Werneck Krauss; Busam, Klaus J.; Brogi, Edi; Reuter, Victor E.; Klimstra, David S.; Fuchs, Thomas J.
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errSave
Whole slide imaging equivalency and efficiency study: experience at a large academic center
errMODERN PATHOLOGY
IF5.5
err2019-07-01
err122
errOAAI
errHanna, Matthew G.; Reuter, Victor E.; Hameed, Meera R.; Tan, Lee K.; Chiang, Sarah; Sigel, Carlie; Hollmann, Travis; Giri, Dilip; Samboy, Jennifer; Moradel, Carlos; Rosado, Andrea; Otilano, John R., III; England, Christine; Corsale, Lorraine; Stamelos, Evangelos; Yagi, Yukako; Schuffler, Peter J.; Fuchs, Thomas; Klimstra, David S.; Sirintrapun, S. Joseph
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errSave
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem
errMEDICAL IMAGE ANALYSIS
IF11.8
err2019-05-01
err212
errOAAI
errHaggstrom, Ida; Schmidtlein, C. Ross; Campanella, Gabriele; Fuchs, Thomas J.
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Research Directions

No research directions
Co-authors
Cooperation Journals
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Ruedi Aebersold
H-index: 198 · Papers: 1.2K
M
Mark A. Rubin
H-index: 186 · Papers: 1.5K
W
William D. Travis
H-index: 176 · Papers: 1.1K
V
Victor E. Reuter
H-index: 153 · Papers: 963
J
Jorge S. Reis‐Filho
H-index: 153 · Papers: 1.5K
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