Abdullah-Al-Zubaer Imran
Engineering · Purdue University West Lafayette
Publications
65
Citations
274
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
This researcher works on applying artificial intelligence and deep learning methods to medical imaging, particularly CT scans, radiation dose estimation, and image quality assessment. Recent work also extends to fairness and bias mitigation in AI-based diagnosis (such as skin cancer detection) and applications of generative models like diffusion models for medical image analysis. Students would likely work at the intersection of computer vision, machine learning, and clinical imaging problems.
Publication output has grown substantially over the last decade, rising from just a couple of papers per year in 2017-2018 to a peak of 16 in 2025, indicating an accelerating and increasingly active research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation
The Journal of Machine Learning for Biomedical Imaging · 2026
- Protecting and Preserving Protest Dynamics for Responsible Analysis
arXiv (Cornell University) · 2026
- Protecting and Preserving Protest Dynamics for Responsible Analysis
arXiv (Cornell University) · 2026
- TFKT V2: task-focused knowledge transfer from natural images for computed tomography perceptual image quality assessment
Journal of Medical Imaging · 2025
- Automated estimation of individualized organ-specific dose and noise from clinical CT scans
Physics in Medicine and Biology · 2025
- Deep learning advances in breast medical imaging with a focus on clinical readiness and radiologists’ perspective
Image and Vision Computing · 2025
- Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images
2025
- Task-focused knowledge transfer from natural images for CT image quality assessment
2025
- Swin-Kat: Advancing Swin Transformer with Kolmogorov-Arnold Network for CT Image Quality Assessment
2025
- Annotation-Efficient Task Guidance for Medical Segment Anything
2025
- A Probabilistic Segment Anything Model for Ambiguity-Aware Medical Image Segmentation
arXiv (Cornell University) · 2025
- Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks
arXiv (Cornell University) · 2025
- Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning
arXiv (Cornell University) · 2025
- Differential Attention for Multimodal Crisis Event Analysis
arXiv (Cornell University) · 2025
- Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis
arXiv (Cornell University) · 2025
- arXiv (Cornell University)×17
- Lecture notes in computer science×6
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE×3
- Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization×2
- Physics in Medicine and Biology×2
- Madhuri Nagare
Medicine · Purdue University West Lafayette
- Yingjie Li
Engineering · The Ohio State University
- Gregery T. Buzzard
Medicine · Purdue University West Lafayette
- Charles A. Bouman
Medicine · Purdue University West Lafayette
- Kevin J. Little
Medicine · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile