Thomas J. Fuchs

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Histopathology Images

Survival Analysis

Top Venues

Comput. Medical Imaging Graph.

Publications

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
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. CoRR (2024)
Gabriele Campanella, Eugene Fluder, Jennifer Zeng, Chad M. Vanderbilt, Thomas J. Fuchs
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling. CoRR (2024)
George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR (2024)
Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew G. Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David S. Klimstra, Brandon Rothrock, Thomas J. Fuchs
Virchow: A Million-Slide Digital Pathology Foundation Model. CoRR (2023)
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
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images. CoRR (2023)
Adam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels. MIDL (2023)
Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin P. Böttinger, Thomas J. Fuchs, Ipek Ensari
Keyword-optimized Template Insertion for Clinical Information Extraction via Prompt-based Learning. CoRR (2023)
Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs
Deep conditional transformation models for survival analysis. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
Chao Feng, Chad M. Vanderbilt, Thomas J. Fuchs
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss. MIDL (2021)
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) (2021)
Hassan Muhammad, Chensu Xie, Carlie S. Sigel, Michael Doukas, Lindsay Alpert, Thomas J. Fuchs
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting. CoRR (2021)
Hassan Muhammad, Chensu Xie, Carlie S. Sigel, Michael Doukas, Lindsay Alpert, Amber Lea Simpson, Thomas J. Fuchs
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting. MIDL (2021)
David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation. Comput. Medical Imaging Graph. 88 (2021)
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)
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)
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 (2020)
David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation. CoRR (2019)
Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder. MICCAI (1) (2019)
Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary. CoRR (2019)
Ida Häggström, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. Medical Image Anal. 54 (2019)
Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter, Thomas J. Fuchs
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation. MIDL (2019)
Hassan Muhammad, Ida Häggström, David S. Klimstra, Thomas J. Fuchs
Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI (2018)
Ida Haeggstroem, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem. CoRR (2018)
Gabriele Campanella, Arjun R. Rajanna, Lorraine Corsale, Peter J. Schüffler, Yukako Yagi, Thomas J. Fuchs
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology. Comput. Medical Imaging Graph. 65 (2018)
Gabriele Campanella, Vitor Werneck Krauss Silva, Thomas J. Fuchs
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology. CoRR (2018)
Kyohei Otsu, Masahiro Ono, Thomas J. Fuchs, Ian Baldwin, Takashi Kubota
Autonomous Terrain Classification With Co- and Self-Training Approach. IEEE Robotics Autom. Lett. 1 (2) (2016)
Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad, Ed Reznik, Satish K. Tickoo, Thomas J. Fuchs
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations. CoRR (2016)
Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad, Ed Reznik, Satish K. Tickoo, Thomas J. Fuchs
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations. MLHC (2016)
S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys. CoRR (2016)
Thomas J. Fuchs, Joachim M. Buhmann
Computational Pathology: Challenges and Promises for Tissue Analysis. CoRR (2016)
Stefan Bauer, Nicolas Carion, Peter J. Schüffler, Thomas J. Fuchs, Peter J. Wild, Joachim M. Buhmann
Multi-Organ Cancer Classification and Survival Analysis. CoRR (2016)
Andrew J. Schaumberg, S. Joseph Sirintrapun, Hikmat A. Al-Ahmadie, Peter J. Schüffler, Thomas J. Fuchs
DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope. CIBB (2016)
S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
Real-time data mining of massive data streams from synoptic sky surveys. Future Gener. Comput. Syst. 59 (2016)
M. S. Ryoo, Thomas J. Fuchs, Lu Xia, Jake K. Aggarwal, Larry H. Matthies
Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me'. HRI (2015)
Jason Yosinski, Jeff Clune, Anh Mai Nguyen, Thomas J. Fuchs, Hod Lipson
Understanding Neural Networks Through Deep Visualization. CoRR (2015)
Arkadiusz Gertych, Nathan Ing, Zhaoxuan Ma, Thomas J. Fuchs, Sadri Salman, Sambit Mohanty, Sanica Bhele, Adriana Velásquez-Vacca, Mahul B. Amin, Beatrice S. Knudsen
Machine learning approaches to analyze histological images of tissues from radical prostatectomies. Comput. Medical Imaging Graph. 46 (2015)
Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
Boosting Convolutional Features for Robust Object Proposals. CoRR (2015)
M. S. Ryoo, Thomas J. Fuchs, Lu Xia, J. K. Aggarwal, Larry H. Matthies
Early Recognition of Human Activities from First-Person Videos Using Onset Representations. CoRR (2014)
Mélanie Rey, Volker Roth, Thomas J. Fuchs
Sparse meta-Gaussian information bottleneck. ICML (2014)
S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs
Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys. eScience (2014)
Ciro Donalek, Arun Kumar A., S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Thomas J. Fuchs, Michael J. Turmon, N. Sajeeth Philip, Michael Ting-Chang Yang, Giuseppe Longo
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets. CoRR (2013)
Ciro Donalek, S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake, Arun Kumar A., N. Sajeeth Philip, Thomas J. Fuchs, Michael J. Turmon, Michael Ting-Chang Yang, Giuseppe Longo
Feature selection strategies for classifying high dimensional astronomical data sets. IEEE BigData (2013)
Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
Quickly Boosting Decision Trees - Pruning Underachieving Features Early. ICML (3) (2013)
Yumi Iwashita, Michael S. Ryoo, Thomas J. Fuchs, Curtis Padgett
Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis. BMVC (2013)
Nicolas Hudson, Thomas Howard, Jeremy Ma, Abhinandan Jain, Max Bajracharya, Steven Myint, Calvin Kuo, Larry H. Matthies, Paul Backes, Paul Hebert, Thomas J. Fuchs, Joel W. Burdick
End-to-end dexterous manipulation with deliberate interactive estimation. ICRA (2012)
Paul Hebert, Nicolas Hudson, Jeremy Ma, Thomas Howard, Thomas J. Fuchs, Max Bajracharya, Joel W. Burdick
Combined shape, appearance and silhouette for simultaneous manipulator and object tracking. ICRA (2012)
Thomas J. Fuchs, Joachim M. Buhmann
Computational pathology: Challenges and promises for tissue analysis. Comput. Medical Imaging Graph. 35 (7-8) (2011)
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. ICML (2010)
Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann
Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. MICCAI (2) (2010)
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinform. 11 (S-8) (2010)
Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann
Neuron geometry extraction by perceptual grouping in ssTEM images. CVPR (2010)
Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. DAGM-Symposium (2010)
Thomas J. Fuchs, Johannes Haybaeck, Peter J. Wild, Mathias Heikenwalder, Holger Moch, Adriano Aguzzi, Joachim M. Buhmann
Randomized Tree Ensembles for Object Detection in Computational Pathology. ISVC (1) (2009)
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth
The Bayesian group-Lasso for analyzing contingency tables. ICML (2009)
Thomas J. Fuchs, Joachim M. Buhmann
Inter-active learning of randomized tree ensembles for object detection. ICCV Workshops (2009)
Stefan C. Saur, Hatem Alkadhi, Lotus Desbiolles, Thomas J. Fuchs, Gábor Székely, Philippe C. Cattin
Guided review by frequent itemset mining: additional evidence for plaque detection. Int. J. Comput. Assist. Radiol. Surg. 4 (3) (2009)
Xenofon E. Floros, Thomas J. Fuchs, Markus P. Rechsteiner, Giatgen Spinas, Holger Moch, Joachim M. Buhmann
Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue. MICCAI (1) (2009)
Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients. MICCAI (2) (2008)
Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann
Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma. DAGM-Symposium (2008)
Philipp Fürnstahl, Thomas J. Fuchs, Andreas Schweizer, Ladislav Nagy, Gábor Székely, Matthias Harders
Automatic and robust forearm segmentation using graph cuts. ISBI (2008)