Jasjit S. Suri
Artificial Intelligence · 2002–2019
A researcher in the Science corpus: 8 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it
- Computer Vision and Pattern Recognition — 76 citations into it; #20,177 of 21,575 by trust here, #12,172 by citations
- Cognitive Neuroscience — 50 citations into it; #8,023 of 10,852 by trust here, #4,260 by citations
- Signal Processing — 24 citations into it; #7,098 of 7,572 by trust here, #4,051 by citations
- Electrical and Electronic Engineering — 6 citations into it
Whom Jasjit S. Suri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stanley J. Osher
- Anthony J. Yezzi Jr.
- Nir A. Sochen
- Michael E. Leventon
- Hojjat Adeli
- Samanwoy Ghosh-Dastidar
- James A. Sethian
- Abdulhamit Subasi
- Hirotugu Akaike
- Ron Kimmel
Who trusts Jasjit S. Suri overall
Papers from Jasjit S. Suri's perspective
Ordered by how strongly the researchers Jasjit S. Suri trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Fully convolutional networks for semantic segmentation
- This PDF file includes: Materials and Methods
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- Deep Learning
- A Fast Learning Algorithm for Deep Belief Nets
- Rethinking the Inception Architecture for Computer Vision
- Deep Learning
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
Their papers
- Heart rate variability: a review (2006) — 2,892 citations
- A Review on a Deep Learning Perspective in Brain Cancer Classification (2019) — 395 citations
- State-of-the-art review on deep learning in medical imaging. (2019) — 184 citations
- The present and future of deep learning in radiology. (2019) — 313 citations
- Automated EEG analysis of epilepsy: A review (2013) — 816 citations
- Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review (2012) — 347 citations
- Application of Non-Linear and Wavelet Based Features for the Automated Identification of Epileptic EEG signals (2012) — 309 citations
- Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review (2002) — 387 citations