IMRAN IQBAL
Postdoctoral AssociateAbout
Titles
Postdoctoral Associate
Biography
Hey, I'm Imran Iqbal, an enthusiastic Research Scientist based in USA with a passion for advancing healthcare through cutting-edge technology. My primary research focus lies in the dynamic field of Deep Learning for Medical Image Analysis. With a strong foundation in Machine Learning and a commitment to improving patient care, I utilize the power of Artificial Intelligence (AI) to develop innovative solutions for the interpretation and diagnosis of complex biological data. My work strives to bridge the gap between Technology & Healthcare, ultimately aiming to enhance the accuracy and efficiency of medical diagnoses. Join me on my journey as we explore the limitless potential of AI in transforming the landscape of medical imaging and ushering in a new era of healthcare excellence.
Last Updated on December 04, 2025.
Departments & Organizations
Education & Training
- PhD
- Peking University, School of Mathematical Sciences (2021)
Research
Publications
Featured Publications
Substrates mimicking the blastocyst geometry revert pluripotent stem cell to naivety
Xu X, Wang W, Liu Y, Bäckemo J, Heuchel M, Wang W, Nie Y, Iqbal I, Kratz K, Lendlein A, Ma N. Substrates mimicking the blastocyst geometry revert pluripotent stem cell to naivety. Nature Materials 2024, 23: 1748-1758. PMID: 39134648, PMCID: PMC11599042, DOI: 10.1038/s41563-024-01971-4.Peer-Reviewed Original ResearchAutomated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images
Iqbal I, Younus M, Walayat K, Kakar M, Ma J. Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images. Computerized Medical Imaging And Graphics 2020, 88: 101843. PMID: 33445062, DOI: 10.1016/j.compmedimag.2020.101843.Peer-Reviewed Original ResearchAn end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs
Iqbal I, Ullah I, Peng T, Wang W, Ma N. An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs. Engineering Applications Of Artificial Intelligence 2025, 139: 109573. DOI: 10.1016/j.engappai.2024.109573.Peer-Reviewed Original ResearchAutomated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images
Iqbal I, Walayat K, Kakar M, Ma J. Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images. Intelligent Systems With Applications 2022, 16: 200149. DOI: 10.1016/j.iswa.2022.200149.Peer-Reviewed Original ResearchDeep learning‐based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning
Iqbal I, Shahzad G, Rafiq N, Mustafa G, Ma J. Deep learning‐based automated detection of human knee joint's synovial fluid from magnetic resonance images with transfer learning. IET Image Processing 2020, 14: 1990-1998. DOI: 10.1049/iet-ipr.2019.1646.Peer-Reviewed Original ResearchDeep Learning-Based Morphological Classification of Human Sperm Heads
Iqbal I, Mustafa G, Ma J. Deep Learning-Based Morphological Classification of Human Sperm Heads. Diagnostics 2020, 10: 325. PMID: 32443809, PMCID: PMC7277990, DOI: 10.3390/diagnostics10050325.Peer-Reviewed Original Research
2026
Significance of unifying semi and self-supervision for the radical improvement of medical imaging: a collaborative research effort
Abbas T, Linjawi M, Iqbal I, Alghushairy O, Alsini R, Daud A. Significance of unifying semi and self-supervision for the radical improvement of medical imaging: a collaborative research effort. Biomedical Signal Processing And Control 2026, 111: 108391. DOI: 10.1016/j.bspc.2025.108391.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2025
Enhancing Fine-Resolution Precipitation Estimates in Data-Scarce Regions: A Novel Spatial Downscaling and Correction Framework
Ullah S, Shahzad N, Yan L, Zuo Z, Iqbal I, Tareen M. Enhancing Fine-Resolution Precipitation Estimates in Data-Scarce Regions: A Novel Spatial Downscaling and Correction Framework. Earth Systems And Environment 2025, 9: 3709-3736. DOI: 10.1007/s41748-025-00758-0.Peer-Reviewed Original ResearchEnhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach
Naveed M, Iqbal I, Hanif M, Xiao J, Liu X, Mi J. Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach. International Journal Of Green Energy 2025, 22: 2126-2149. DOI: 10.1080/15435075.2025.2450468.Peer-Reviewed Original Research
2024
Overview of Digital Quantum Simulator: Applications and Comparison with Latest Methods
Tang H, Simancas-García J, Mai J, Cheng M, Iqbal I, Por L. Overview of Digital Quantum Simulator: Applications and Comparison with Latest Methods. SPIN 2024, 15: 2440004. DOI: 10.1142/s2010324724400046.Peer-Reviewed Original Research
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Email
Mailing Address
Yale University
28 Stevens St
New Haven, CT 06519
United States