Nouman Ahmad
Doktorand vid Institutionen för kirurgiska vetenskaper; Radiologi; Radiologisk bildanalys
- E-post:
- nouman.ahmad@uu.se
- Besöksadress:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala - Postadress:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala
- CV:
- Ladda ned CV
- ORCID:
- 0000-0003-0202-9205
Nyckelord
- data science
- machine learning
- deep learning
- computer vision
- image processing
- convolutional neural networks
- medical image analysis
- computer science
- artifical intelligence

Publikationer
Urval av publikationer
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Ingår i BMC Bioinformatics, 2023
- DOI för Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
- Ladda ner fulltext (pdf) av Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Senaste publikationer
Ingår i Nature Communications, 2025
- DOI för 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)
- Ladda ner fulltext (pdf) av 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)
Ingår i Heliyon, 2025
- DOI för Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
- Ladda ner fulltext (pdf) av Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
Ingår i JHEP Reports, 2025
- DOI för Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
- Ladda ner fulltext (pdf) av Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
2025
Ingår i IEEE Access, s. 184119-184131, 2024
- DOI för Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
- Ladda ner fulltext (pdf) av Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
Alla publikationer
Artiklar i tidskrift
Ingår i Nature Communications, 2025
- DOI för 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)
- Ladda ner fulltext (pdf) av 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)
Ingår i Heliyon, 2025
- DOI för Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
- Ladda ner fulltext (pdf) av Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
Ingår i JHEP Reports, 2025
- DOI för Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
- Ladda ner fulltext (pdf) av Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition
Ingår i IEEE Access, s. 184119-184131, 2024
- DOI för Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
- Ladda ner fulltext (pdf) av Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification
Ingår i Heliyon, 2024
- DOI för Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
- Ladda ner fulltext (pdf) av Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
Ingår i Biomedical engineering online, 2024
- DOI för Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
- Ladda ner fulltext (pdf) av Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies
Ingår i Scientific Reports, 2024
- DOI för The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease
- Ladda ner fulltext (pdf) av The interaction of genetics and physical activity in the pathogenesis of metabolic dysfunction associated liver disease
Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Ingår i BMC Bioinformatics, 2023
- DOI för Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
- Ladda ner fulltext (pdf) av Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
Doktorsavhandlingar, sammanläggning
Konferensbidrag
Ingår i Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, s. 17-32, 2024
Ingår i Medical Image Understanding and Analysis, s. 242-255, 2024