Thomas J. Fuchs

According to our database1, Thomas J. Fuchs
  • authored at least 39 papers between 2008 and 2018.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

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.
Comp. Med. Imag. and Graph., 2018

2016
Autonomous Terrain Classification With Co- and Self-Training Approach.
IEEE Robotics and Automation Letters, 2016

Real-time data mining of massive data streams from synoptic sky surveys.
Future Generation Comp. Syst., 2016

Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations.
CoRR, 2016

Computational Pathology: Challenges and Promises for Tissue Analysis.
CoRR, 2016

Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys.
CoRR, 2016

Multi-Organ Cancer Classification and Survival Analysis.
CoRR, 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
Understanding Neural Networks Through Deep Visualization.
CoRR, 2015

Boosting Convolutional Features for Robust Object Proposals.
CoRR, 2015

Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Comp. Med. Imag. and 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

Sparse meta-Gaussian information bottleneck.
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

Structure Preserving Embedding of Dissimilarity Data.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets.
CoRR, 2013

Quickly Boosting Decision Trees - Pruning Underachieving Features Early.
Proceedings of the 30th International Conference on Machine Learning, 2013

Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis.
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, 2013

2012
End-to-end dexterous manipulation with deliberate interactive estimation.
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
Computational pathology: Challenges and promises for tissue analysis.
Comp. Med. Imag. and Graph., 2011

2010
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.
BMC Bioinformatics, 2010

Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Pattern Recognition, 2010

Neuron geometry extraction by perceptual grouping in ssTEM images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Guided review by frequent itemset mining: additional evidence for plaque detection.
Int. J. Computer Assisted Radiology and Surgery, 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

Randomized Tree Ensembles for Object Detection in Computational Pathology.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

The Bayesian group-Lasso for analyzing contingency tables.
Proceedings of the 26th Annual International Conference on Machine Learning, 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

Automatic and robust forearm segmentation using graph cuts.
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


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