Nouman Ahmad
PhD student at Department of Surgical Sciences; Radiology; Radiological Image Analysis
- E-mail:
- nouman.ahmad@uu.se
- Visiting address:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala - Postal address:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala
- CV:
- Download CV
- ORCID:
- 0000-0003-0202-9205
Keywords
- data science
- machine learning
- deep learning
- computer vision
- image processing
- convolutional neural networks
- medical image analysis
- computer science
- artifical intelligence
Biography
Nouman Ahmad is Working as Doctoral Student at Uppsala University. He also worked as a Research Assistant in, the Department of Surgical Sciences, Radiology; Radiological image analysis, at Uppsala University. He completed his MS degree in Computer Science from COMSATS University Islamabad (CUI), Islamabad Campus, Islamabad, Pakistan in 2020. He also worked as a Research Assistant at the COMSATS University Islamabad, Pakistan in the field of medical imaging, data science, computer vision, and machine learning. Currently, He is working on solving several computer vision problems such as image classification, segmentation, object detection, and image super-resolution by applying several approaches such as supervised learning, semi-supervised, self-supervised learning, generative adversarial networks (GAN), and clustering. His research interests include data science, medical imaging, computer vision, image processing, deep learning, and explainable AI.

Publications
Selection of publications
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Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Part of BMC Bioinformatics, 2023
- DOI for Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
- Download full text (pdf) of Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Recent publications
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Part of Communications Medicine, 2026
- DOI for Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome
- Download full text (pdf) of Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome
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Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
Part of JHEP Reports, 2025
- DOI for Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
- Download full text (pdf) of Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
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Part of Nature Communications, 2025
- DOI for Effects of an anti-lipogenic low-carbohydrate high polyunsaturated fat diet or a healthy Nordic diet versus usual care on liver fat and cardiometabolic disorders in type 2 diabetes or prediabetes: a randomized controlled trial (NAFLDiet)
- Download full text (pdf) of Effects of an anti-lipogenic low-carbohydrate high polyunsaturated fat diet or a healthy Nordic diet versus usual care on liver fat and cardiometabolic disorders in type 2 diabetes or prediabetes: a randomized controlled trial (NAFLDiet)
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Part of Heliyon, 2025
- DOI for Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
- Download full text (pdf) of Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
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2025
All publications
Articles in journal
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Part of Communications Medicine, 2026
- DOI for Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome
- Download full text (pdf) of Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome
-
Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
Part of JHEP Reports, 2025
- DOI for Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
- Download full text (pdf) of Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
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Part of Nature Communications, 2025
- DOI for Effects of an anti-lipogenic low-carbohydrate high polyunsaturated fat diet or a healthy Nordic diet versus usual care on liver fat and cardiometabolic disorders in type 2 diabetes or prediabetes: a randomized controlled trial (NAFLDiet)
- Download full text (pdf) of Effects of an anti-lipogenic low-carbohydrate high polyunsaturated fat diet or a healthy Nordic diet versus usual care on liver fat and cardiometabolic disorders in type 2 diabetes or prediabetes: a randomized controlled trial (NAFLDiet)
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Part of Heliyon, 2025
- DOI for Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
- Download full text (pdf) of Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
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Part of IEEE Access, p. 184119-184131, 2024
- DOI for Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
- Download full text (pdf) of Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
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Part of Heliyon, 2024
- DOI for Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
- Download full text (pdf) of Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
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Part of Biomedical engineering online, 2024
- DOI for Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
- Download full text (pdf) of Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
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Part of Scientific Reports, 2024
- DOI for The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease
- Download full text (pdf) of The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease
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Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Part of BMC Bioinformatics, 2023
- DOI for Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
- Download full text (pdf) of Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Comprehensive doctoral thesis
Conference papers
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Part of Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, p. 17-32, 2024
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Part of Medical Imaging With Deep Learning, MIDL 2024, p. 17-32, 2024
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Part of Medical Image Understanding and Analysis, p. 242-255, 2024