Thomas J. Fuchs
Orcid: 0000-0001-7603-8687Affiliations:
- Hasso Plattner Institute for Digital Health at Mount Sinai, USA
- Memorial Sloan Kettering Cancer Center, New York, NY, USA (former)
- California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA (former)
- ETH Zurich, Department of Computer Science, Switzerland (former)
According to our database1,
Thomas J. Fuchs
authored at least 58 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling.
CoRR, 2024
2023
Keyword-optimized Template Insertion for Clinical Information Extraction via Prompt-based Learning.
CoRR, 2023
Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.
CoRR, 2023
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels.
Proceedings of the Medical Imaging with Deep Learning, 2023
2022
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.
CoRR, 2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.
CoRR, 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation.
CoRR, 2022
2021
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center.
J. Am. Medical Informatics Assoc., 2021
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
2020
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.
Medical Image Anal., 2019
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary.
CoRR, 2019
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology.
CoRR, 2018
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem.
CoRR, 2018
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.
Comput. Medical Imaging Graph., 2018
Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
2016
IEEE Robotics Autom. Lett., 2016
Future Gener. Comput. Syst., 2016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations.
Proceedings of the 1st Machine Learning in Health Care, 2016
DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
2015
Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Comput. Medical Imaging Graph., 2015
Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me'.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015
2014
Early Recognition of Human Activities from First-Person Videos Using Onset Representations.
CoRR, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys.
Proceedings of the 10th IEEE International Conference on e-Science, 2014
2013
Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets.
CoRR, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the British Machine Vision Conference, 2013
Feature selection strategies for classifying high dimensional astronomical data sets.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2012
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Combined shape, appearance and silhouette for simultaneous manipulator and object tracking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
Comput. Medical Imaging Graph., 2011
2010
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.
BMC Bioinform., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Pattern Recognition, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Int. J. Comput. Assist. Radiol. Surg., 2009
Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
2008
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma.
Proceedings of the Pattern Recognition, 2008