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Jun Bai

2 papers hereh-index 7302 citations13 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2
same name
  • Jun Bai — 7 papers, h 5
  • Jun Bai — 5 papers, h 2
  • Jun Bai — 3 papers, h 1
  • Jun Bai — 3 papers, h 1
  • Jun Bai — 3 papers, h 3
  • Jun Bai — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedWeakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms

Jun Bai, Annie Jin, Madison Adams +2

Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing…

eess.IV2022★ 4 cited

Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images

Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang +6

Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in prostate cancer is t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.