Sotirios A. Tsaftaris

Computer Vision and Pattern Recognition · 2009–2022

A researcher in the Science corpus: 19 papers; trusts 572 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 280 citations into it; #4,455 of 21,575 by trust here, #4,402 by citations
Artificial Intelligence — 131 citations into it; #19,384 of 35,345 by trust here, #19,018 by citations
Plant Science — 95 citations into it; #407 of 8,232 by trust here, #2,145 by citations
Radiology, Nuclear Medicine and Imaging — 77 citations into it; #1,511 of 3,265 by trust here, #1,233 by citations
Computational Biology & Bioinformatics — 57 citations into it; #354 of 660 by trust here, #633 by citations
Biophysics — 44 citations into it; #260 of 1,196 by trust here, #538 by citations
Molecular Biology — 29 citations into it; #8,798 of 17,773 by trust here, #13,284 by citations
Representation & Self-Supervised Learning — 28 citations into it

Whom Sotirios A. Tsaftaris trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Sotirios A. Tsaftaris overall

Papers from Sotirios A. Tsaftaris's perspective

Ordered by how strongly the researchers Sotirios A. Tsaftaris trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
ImageNet Large Scale Visual Recognition Challenge
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Going deeper with convolutions

Their papers

Finely-grained annotated datasets for image-based plant phenotyping (2016) — 306 citations
Leaf segmentation in plant phenotyping: a collation study (2015) — 281 citations
Disentangled representation learning in cardiac image analysis (2019) — 168 citations
Factorised spatial representation learning: application in semi-supervised myocardial segmentation (2018) — 77 citations
Annotated Image Datasets of Rosette Plants (2014) — 101 citations
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner] (2015) — 242 citations
Learning computationally efficient approximations of complex image segmentation metrics (2013) — 6 citations
Metrics Reloaded: Recommendations for image analysis validation (2022) — 479 citations
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge (2021) — 467 citations
AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) — 524 citations
Simulation and Synthesis in Medical Imaging (2018) — 168 citations
Multimodal MR Synthesis via Modality-Invariant Latent Representation (2017) — 347 citations
segmentation in plant phenotyping: a collation study. Machine Vision and Applications (2017)
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge (2017) — 91 citations
An interactive tool for semi-automated leaf annotation (2015) — 20 citations
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (2015) — 647 citations
Learning to Count Leaves in Rosette Plants (2015) — 110 citations
Image-based plant phenotyping with incremental learning and active contours (2014) — 135 citations
Plant phenotyping with low cost digital cameras and image analytics (2009) — 56 citations