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researcher

L. Moy

10 papers hereh-index 5613.2k citations260 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.LG3
  • cs.CV2

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedAn interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

17 citations · 27 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2020

Understanding the robustness of deep neural network classifiers for breast cancer screening

Witold Oleszkiewicz, Taro Makino, Stanisław Jastrzębski +5

Deep neural networks (DNNs) show promise in breast cancer screening, but their robustness to input perturbations must be better understood before they can be clinically implemented…

cs.LG2019

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

Yiqiu Shen, Nan Wu, Jason Phang +5

Deep learning models designed for visual classification tasks on natural images have become prevalent in medical image analysis. However, medical images differ from typical natural…

cs.LG2019

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Nan Wu, Jason Phang, Jungkyu Park +29

We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). Our network ach…

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