M. Fazlul Hoq
Researcher
Also affiliated: Georgia Institute of Technology (1991–1997); University of Indianapolis (2025); Kansas State University (1987–1990); Purdue University West Lafayette (2025); Institute of Nuclear Medicine & Allied Sciences (2025); Indiana University – Purdue University Indianapolis (2025); Bangladesh Atomic Energy Commission (2014–2018)
Faculty Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
M. Fazlul Hoq's research investigates the application of advanced computational methods and machine learning in medical diagnostics and materials science. Recent work includes developing multimodal frameworks for pathology image retrieval and auto-captioning using foundation models and exploring native-resolution 2D embeddings for lung cancer classification. Hoq also studies efficient direct recycling strategies for spent lithium-ion batteries, focusing on mechanochemically driven cathode healing and regeneration using eutectic salts. Other research interests include clinical profiles of poisoning cases and echocardiographic findings in patients with chronic kidney disease.
Hoq has published 40 papers, accumulating 401 citations and an h-index of 10. Key collaborators include Linda Larson-Prior, Donald J. Johann, and Lawrence Tarbox, all from the University of Arkansas for Medical Sciences, with whom Hoq has co-authored single publications.
Metrics
- h-index: 10
- Publications: 40
- Citations: 404
Selected Publications
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Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model (2025)
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1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD (2025)
Collaboration Network
Top Collaborators
- 1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD
- 1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD
- 1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD
- 1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD
- 1434: RENAL REPLACEMENT THERAPY FOLLOWING IV CONTRAST ADMINISTRATION IN CRITICALLY ILL PATIENTS WITH CKD
- Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model
- Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model
- Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model
- Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model
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