Purang Abolmaesumi
Artificial Intelligence · 2002–2023
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Safety, Robustness & Interpretability — 15 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 10 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Purang Abolmaesumi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- John J. Hopfield
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Sergey Ioffe
- Christian Szegedy
- Thomas G. Dietterich
- Radford M. Neal
- Jimmy Ba
Papers from Purang Abolmaesumi's perspective
Ordered by how strongly the researchers Purang Abolmaesumi trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2023) — 491 citations
- Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation (2019) — 390 citations
- A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy (2018) — 89 citations
- Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation (2017) — 391 citations
- Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series (2009) — 95 citations
- Image-guided control of a robot for medical ultrasound (2002) — 319 citations