Arnold Milstein

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Arnold Milstein trusts overall

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

1. Ross B. Girshick

Papers from Arnold Milstein's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Fast R-CNN
6. Surgical skill and complication rates after bariatric surgery. (New England Journal of Medicine)
7. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos (IEEE Transactions on Medical Imaging)
8. Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions.
9. An estimation of the global volume of surgery: a modelling strategy based on available data. (The Lancet)
10. Global access to surgical care: a modelling study (Lancet Global Health)

Their papers

• Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health. (2016) — 361 citations
• Making Machine Learning Models Clinically Useful. (2019) — 250 citations
• Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks (2018) — 309 citations
• Identifying Distinct Subgroups of Intensive Care Unit Patients: a Machine Learning Approach (2017) — 82 citations