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ORCIDDimitrios Toumpanakis
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2020 – today
- 2025
[j4]Subhash Chandra Pal, Chirag Kamal Ahuja, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara
:
Computationally efficient dilated residual networks for segmentation of major cerebral vessels in MRA. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 95 (2025)- [j3]Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
Transformers with Dual Attention for Volumetric Quantification of Pre and Post-operative Brain Tumors with Follow-Up. SN Comput. Sci. 6(8): 952 (2025) - [i1]Sanhita Basu, Tomas Fröding, Ali Teymur Kahraman, Dimitris Toumpanakis, Tobias Sjöblom:
AI-Assisted Pleural Effusion Volume Estimation from Contrast-Enhanced CT Images. CoRR abs/2510.03856 (2025) - 2024
- [j2]Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation. IET Image Process. 18(14): 4928-4943 (2024) - [j1]Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. SN Comput. Sci. 5(1): 106 (2024) - [c7]Subhash Chandra Pal, Dimitrios Toumpanakis, Johan Wikström, Chirag Kamal Ahuja, Robin Strand, Ashis Kumar Dhara:
Context-Aware Preprocessing Method for Reduction of Volume of Interest Towards Quantification of Pre and Post-treatment Intracranial Aneurysms in MRA. ICPR (Workshops and Challenges, 5) 2024: 233-242 - [c6]Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
CAST: Channel Aware Swin Transformers for Post-operative Glioblastoma Segmentation. ICPR (Workshops and Challenges, 5) 2024: 243-257 - [c5]Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up. ISBI 2024: 1-5 - 2023
- [c4]Ali Teymur Kahraman, Tomas Fröding, Dimitrios Toumpanakis, Mikael Fridenfalk, Christian Jamtheim Gustafsson, Tobias Sjöblom:
A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models. ECBS 2023: 259-262 - [c3]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Deep curriculum learning for follow-up MRI registration in glioblastoma. Image Processing 2023 - [c2]Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. PReMI 2023: 380-387 - 2022
- [c1]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. ISBI 2022: 1-4
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