533 citations
- Cornell UniversityUS77 papers
- Harvard UniversityUS11 papers
- Stanford UniversityUS9 papers
- CitigroupUS7 papers
- Columbia UniversityUS7 papers
- Massachusetts Institute of TechnologyUS7 papers
- Memorial Sloan Kettering Cancer CenterUS7 papers
- The University of Texas at AustinUS7 papers
- University of PennsylvaniaUS7 papers
- Georgia Institute of TechnologyUS6 papers
- Icahn School of Medicine at Mount SinaiUS6 papers
- Mayo ClinicUS6 papers
Showing 2018 · cs.CVShow all
3 papers · 2 filters
cs.CV2018★ 13 cited
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Yu Pan, Jing Xu, Maolin Wang +4
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in…
cs.CV2018★ 40 cited
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology
Gabriele Campanella, Vitor Werneck Krauss Silva, Thomas J. Fuchs
In the field of computational pathology, the use of decision support systems powered by state-of-the-art deep learning solutions has been hampered by the lack of large labeled data…
cs.CV2018★ 330 cited
DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella +1
Positron emission tomography (PET) is a cornerstone of modern radiology. The ability to detect cancer and metastases in whole body scans fundamentally changed cancer diagnosis and…