1.5k citations · 2.4k across the 18 of their papers we have counts for
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Computational Pathology: Challenges and Promises for Tissue Analysis
Thomas J. Fuchs, Joachim M. Buhmann
The histological assessment of human tissue has emerged as the key challenge for detection and treatment of cancer. A plethora of different data sources ranging from tissue microar…
Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, Anh Nguyen +2
Recent years have produced great advances in training large, deep neural networks (DNNs), including notable successes in training convolutional neural networks (convnets) to recogn…
Boosting Convolutional Features for Robust Object Proposals
Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
Deep Convolutional Neural Networks (CNNs) have demonstrated excellent performance in image classification, but still show room for improvement in object-detection tasks with many c…