Author Info
Name
Affiliation
Papers
THOMAS J. FUCHS
Department of Computer Science, ETH Zürich, Zürich, Switzerland and Competence Center for Systems Physiology and Metabolic Diseases, ETH Zürich,
22
Collaborators
Citations 
PageRank 
69
343
22.48
Referers 
Referees 
References 
1214
398
136
Search Limit
1001000
Title
Citations
PageRank
Year
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder.10.352019
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary.00.342019
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology.50.522018
Multi-Organ Cancer Classification and Survival Analysis.10.422016
Real-time data mining of massive data streams from synoptic sky surveys50.592016
Autonomous Terrain Classification With Co- and Self-Training Approach.00.342016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations.00.342016
Computational pathology: Challenges and promises for tissue analysis20.412016
Understanding Neural Networks Through Deep Visualization2047.492015
Sparse meta-Gaussian information bottleneck.00.342014
Feature Selection Strategies For Classifying High Dimensional Astronomical Data Sets60.652013
Geometrical consistent 3D tracing of neuronal processes in ssTEM data.152.202010
Computational TMA analysis and cell nucleus classification of renal cell carcinoma120.692010
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.130.422010
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data90.722010
Neuron geometry extraction by perceptual grouping in ssTEM images363.192010
Guided review by frequent itemset mining: additional evidence for plaque detection10.422009
The Bayesian group-Lasso for analyzing contingency tables181.072009
Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue00.342009
Randomized Tree Ensembles for Object Detection in Computational Pathology10.362009
Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma40.482008
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients100.812008