Dimitrios Toumpanakis

According to our database, Dimitrios Toumpanakis authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Transformers with Dual Attention for Volumetric Quantification of Pre and Post-operative Brain Tumors with Follow-Up.

Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

SN Comput. Sci., December, 2025

Computationally efficient dilated residual networks for segmentation of major cerebral vessels in MRA.

Subhash Chandra Pal, Chirag Kamal Ahuja, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

Netw. Model. Anal. Health Informatics Bioinform., December, 2025

AI-Assisted Pleural Effusion Volume Estimation from Contrast-Enhanced CT Images.

Sanhita Basu, Tomas Fröding, Ali Teymur Kahraman, Dimitris Toumpanakis, Tobias Sjöblom

CoRR, October, 2025

Computer-Aided Volumetric Quantification of Pre- and Post-Treatment Intracranial Aneurysms in MRA.

Subhash Chandra Pal, Chirag Kamal Ahuja, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

IET Image Process., 2025

2024

ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans.

Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

SN Comput. Sci., January, 2024

Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation.

Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

IET Image Process., 2024

CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up.

Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Context-Aware Preprocessing Method for Reduction of Volume of Interest Towards Quantification of Pre and Post-treatment Intracranial Aneurysms in MRA.

Subhash Chandra Pal, Dimitrios Toumpanakis, Johan Wikström, Chirag Kamal Ahuja, Robin Strand, Ashis Kumar Dhara

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

CAST: Channel Aware Swin Transformers for Post-operative Glioblastoma Segmentation.

Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor.

Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

2023

3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation.

Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Deep curriculum learning for follow-up MRI registration in glioblastoma.

Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand

Proceedings of the Medical Imaging 2023: Image Processing, 2023

A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models.

Ali Teymur Kahraman, Tomas Fröding, Dimitrios Toumpanakis, Mikael Fridenfalk, Christian Jamtheim Gustafsson, Tobias Sjöblom

Proceedings of the Engineering of Computer-Based Systems - 8th International Conference, 2023

2022

Topology-Aware Learning for Volumetric Cerebrovascular Segmentation.

Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022