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ORCIDDimitrios Toumpanakis
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2020 – today
- 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)- [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
Coauthor Index
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