Sambit Tarai

Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer

Korsavidou Hult, Nafsika; Tarai, Sambit; Hammarström, Klara; Kullberg, Joel et al.

Ingår i Abdominal radiology, s. 1116-1128, 2026

• DOI för Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer
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Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.

Tarai, Sambit; Lundström, Elin; Ahmad, Nouman; Strand, Robin et al.

Ingår i Heliyon, 2025

• DOI för Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
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Deep Learning-Based Large-Scale Medical Image Analysis: From Segmentation to Survival Analysis of Oncologic FDG-PET/CT

Tarai, Sambit

2025

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Short-term effects of obesity surgery versus low-energy diet on body composition and tissue-specific glucose uptake: a randomised clinical study using whole-body integrated ¹⁸F-FDG-PET/MRI

Eriksson, Jan; Pereira, Maria J.; Kagios, Christakis; Kvernby, Sofia et al.

Ingår i Diabetologia, s. 1399-1412, 2024

• DOI för Short-term effects of obesity surgery versus low-energy diet on body composition and tissue-specific glucose uptake: a randomised clinical study using whole-body integrated ¹⁸F-FDG-PET/MRI
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Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer

Korsavidou Hult, Nafsika; Tarai, Sambit; Hammarström, Klara; Kullberg, Joel et al.

Ingår i Abdominal radiology, s. 1116-1128, 2026

• DOI för Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer
• Ladda ner fulltext (pdf) av Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer

Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.

Tarai, Sambit; Lundström, Elin; Ahmad, Nouman; Strand, Robin et al.

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.

Short-term effects of obesity surgery versus low-energy diet on body composition and tissue-specific glucose uptake: a randomised clinical study using whole-body integrated ¹⁸F-FDG-PET/MRI

Eriksson, Jan; Pereira, Maria J.; Kagios, Christakis; Kvernby, Sofia et al.

Ingår i Diabetologia, s. 1399-1412, 2024

• DOI för Short-term effects of obesity surgery versus low-energy diet on body composition and tissue-specific glucose uptake: a randomised clinical study using whole-body integrated ¹⁸F-FDG-PET/MRI
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Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors

Tarai, Sambit; Lundström, Elin; Sjöholm, Therese; Jönsson, Hanna et al.

Ingår i Heliyon, 2024

• DOI för Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
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Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies

Ahmad, Nouman; Dahlberg, Hugo; Jönsson, Hanna; Tarai, Sambit et al.

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
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Spleen volume is independently associated with non-alcoholic fatty liver disease, liver volume and liver fibrosis

Helgesson, Samuel; Tarai, Sambit; Langner, Taro; Ahlström, Håkan et al.

Ingår i Heliyon, 2024

• DOI för Spleen volume is independently associated with non-alcoholic fatty liver disease, liver volume and liver fibrosis
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Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.

Ahmad, Nouman; Strand, Robin; Sparresäter, Björn; Tarai, Sambit et al.

Ingår i BMC Bioinformatics, 2023

• DOI för Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.
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A whole-body diffusion MRI normal atlas: development, evaluation and initial use

Sjöholm, Therese; Tarai, Sambit; Malmberg, Filip; Strand, Robin et al.

Ingår i Cancer Imaging, 2023

• DOI för A whole-body diffusion MRI normal atlas: development, evaluation and initial use
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Deep Learning-Based Large-Scale Medical Image Analysis: From Segmentation to Survival Analysis of Oncologic FDG-PET/CT

Tarai, Sambit

2025

• Ladda ner fulltext (pdf) av Deep Learning-Based Large-Scale Medical Image Analysis: From Segmentation to Survival Analysis of Oncologic FDG-PET/CT

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Medical Imaging With Deep Learning, MIDL 2024, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis

Tarai, Sambit; Lundström, Elin; Öfverstedt, Johan; Jönsson, Hanna et al.

Ingår i Medical Image Understanding and Analysis, s. 242-255, 2024

• DOI för Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis