Scholar
Lavsen Dahal
Google Scholar ID: 52zp7VkAAAAJ
Duke University
Deep Learning
Medical Imaging
Computer Vision
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Citations & Impact
All-time
Citations
379
H-index
5
i10-index
5
Publications
20
Co-authors
30
list available
Contact
Email
lavsen.dahal@duke.edu
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Publications
6 items
Organ-Aware Attention Improves CT Triage and Classification
2026
Cited
0
Demographic Distribution Matching between real world and virtual phantom population
2025
Cited
0
SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training
2025
Cited
0
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
arXiv.org · 2024
Cited
2
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation
arXiv.org · 2023
Cited
1
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging (preprint)
2023
Cited
1
Resume (English only)
Co-authors
30 total
Fakrul Islam Tushar
PhD Student at ECE, Duke University
Joseph Y. Lo
Professor of Radiology, Biomed. Engineering, Elec. Engineering, Med Physics
Md. Kamrul Hasan
Research postgraduate at Imperial College London & Faculty member at KUET
Ehsan Samei
Reed and Martha Rice Distinguished Professor of Radiology, Medical Physics, BME, ECE, and Physics
Ehsan Abadi
Associate Professor in Radiology, Electrical and Computer Engineering, and Medical Physics, Duke
William Segars
Associate Professor of Radiology, Duke University
Kyle J. Lafata
Thaddeus V. Samulski Associate Professor, Duke University
Robert Martí Marly (ORCID 0000-0002-8080-2710)
Associate Professor. University of Girona
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