◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Neeral Beladia

3 papers hereh-index 5276 citations7 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedDeep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

55 citations · 56 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Command A: An Enterprise-Ready Large Language Model

Team Cohere, :, Aakanksha +227

In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…

eess.IV2021★ 1 cited

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries

Sahar Kazemzadeh, Jin Yu, Shahar Jamshy +21

Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO recommends chest radiographs (CXRs) for TB screening, the limited availability of CXR interpretation is a bar…

eess.IV2020★ 55 cited

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases

Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy +20

Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.