M. Troester
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
Whom M. Troester trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
Papers from M. Troester's perspective
Ordered by how strongly the researchers M. Troester trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
- How transferable are features in deep neural networks?
- Support Vector Machines for Multiple-Instance Learning
- Weakly supervised histopathology cancer image segmentation and classification (Medical Image Anal.)
- Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification (Computer Vision and Pattern Recognition)
- Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. (Cancer Cell)
- Classifying and segmenting microscopy images with deep multiple instance learning
- Deep Learning for Identifying Metastatic Breast Cancer