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I. Banerjee

5 papers hereh-index 9251 citations33 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
  • eess.IV1
same name
  • I. Banerjee — 20 papers, h 30
  • I. Banerjee — 8 papers, h 16
  • I. Banerjee — 5 papers, h 29
  • I. Banerjee — 2 papers, h 10
  • I. Banerjee — 2 papers, h 2
  • I. Banerjee — 1 paper, h 3

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

activity
20242026
most citedAssessing Empathy in Large Language Models with Real-World Physician-Patient Interactions

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

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events

Jialu Pi, Juan Maria Farina, Rimita Lahiri +7

Major Adverse Cardiovascular Events (MACE) remain the leading cause of mortality globally, as reported in the Global Disease Burden Study 2021. Opportunistic screening leverages da…

eess.IV2025

Multi-Analyte, Swab-based Automated Wound Monitor with AI

Madhu Babu Sikha, Lalith Appari, Gurudatt Nanjanagudu Ganesh +2

Diabetic foot ulcers (DFUs), a class of chronic wounds, affect ~750,000 individuals every year in the US alone and identifying non-healing DFUs that develop to chronic wounds early…

cs.CL2025★ 1 cited

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset

Man Luo, Bradley Peterson, Rafael Gan +5

Peer review is crucial for advancing and improving science through constructive criticism. However, toxic feedback can discourage authors and hinder scientific progress. This work…

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