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A. Agrawal

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV3
same name
  • A. Agrawal — 9 papers, h 11
  • A. Agrawal — 6 papers, h 12
  • A. Agrawal — 4 papers, h 10
  • A. Agrawal — 3 papers, h 18
  • A. Agrawal — 2 papers, h 14
  • A. Agrawal — 2 papers

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 citedMulti-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images

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

collaborators

3 papers

eess.IV2020★ 2 cited

Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update

Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4

Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and su…

eess.IV2020

Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images

Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4

A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Au…

eess.IV2020★ 2 cited

Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images

Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar +7

With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several count…

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