Sambit Tarai

According to our database, Sambit Tarai authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Time-driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer.

Sambit Tarai, Ashish Chauhan, Elin Lundström, Johan Öfverstedt, Therese Sjöholm, Veronica Sanchez Rodriguez, Håkan Ahlström, Joel Kullberg

CoRR, April, 2026

2024

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

Sambit Tarai, Elin Lundström, Johan Öfverstedt, Hanna Jönsson, Nouman Ahmad, Håkan Ahlström, Joel Kullberg

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

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

Nouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström, Joel Kullberg

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Automatic segmentation of large-scale CT image datasets for detailed body composition analysis.

Nouman Ahmad, Robin Strand, Björn Sparresäter, Sambit Tarai, Elin Lundström, Göran Bergström, Håkan Ahlström, Joel Kullberg

BMC Bioinform., December, 2023

2021

LNDb challenge on automatic lung cancer patient management.

João Pedrosa, Guilherme Aresta, Carlos Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, Hamid Bouchachia, Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho

Medical Image Anal., 2021

2020

An Automated Workflow for Lung Nodule Follow-Up Recommendation Using Deep Learning.

Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020