Dimitrios Toumpanakis

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

Chandra Pal, Subhash; Kamal Ahuja, Chirag; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of Network Modeling Analysis in Health Informatics and Bioinformatics, 2025

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

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

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of SN Computer Science, 2025

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

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

Pal, Subhash Chandra; Ahuja, Chirag Kamal; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of IET Image Processing, 2025

• DOI for Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA
• Download full text (pdf) of Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA

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

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of 2024 IEEE International Symposium on Biomedical Imaging (ISBI), p. 1-5, 2024

• DOI for CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up
• Download full text (pdf) of CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up

ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans

Kundu, Swagata; Banerjee, Subhashis; Breznik, Eva; Toumpanakis, Dimitrios et al.

Part of SN Computer Science, 2024

• DOI for ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans

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

Chandra Pal, Subhash; Kamal Ahuja, Chirag; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of Network Modeling Analysis in Health Informatics and Bioinformatics, 2025

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

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

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of SN Computer Science, 2025

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

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

Pal, Subhash Chandra; Ahuja, Chirag Kamal; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of IET Image Processing, 2025

• DOI for Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA
• Download full text (pdf) of Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA

ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans

Kundu, Swagata; Banerjee, Subhashis; Breznik, Eva; Toumpanakis, Dimitrios et al.

Part of SN Computer Science, 2024

• DOI for ASE-Net for Segmentation of Post-operative Glioblastoma and Patient-specific Fine-tuning for Segmentation Refinement of Follow-up MRI Scans

Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans

Bark, David; Basu, Julia; Toumpanakis, Dimitrios; Nyberg, Johan Burwick et al.

Part of NEUROTRAUMA REPORTS, p. 1009-1015, 2024

• DOI for Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans
• Download full text (pdf) of Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans

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

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of IET Image Processing, p. 4928-4943, 2024

• DOI for Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation
• Download full text (pdf) of Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation

Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography.

Kahraman, Ali Teymur; Fröding, Tomas; Toumpanakis, Dimitrios; Jamtheim Gustafsson, Christian et al.

Part of Heliyon, 2024

• DOI for Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography.
• Download full text (pdf) of Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography.

Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring

Banerjee, Subhashis; Nysjö, Fredrik; Toumpanakis, Dimitrios; Dhara, Ashis Kumar et al.

Part of Scientific Reports, 2024

• DOI for Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring
• Download full text (pdf) of Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring

Multi-level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA towards Diagnosis of Cerebrovascular Disorders

Pal, Subhash Chandra; Toumpanakis, Dimitrios; Wikström, Johan; Ahuja, Chirag Kamal et al.

Part of IEEE Transactions on Nanobioscience, p. 167-175, 2024

• DOI for Multi-level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA towards Diagnosis of Cerebrovascular Disorders

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

Kundu, Swagata; Banerjee, Subhashis; Breznik, Eva; Toumpanakis, Dimitrios et al.

Part of SN Computer Science, 2023

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

Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography

Kahraman, Ali T.; Fröding, Tomas; Toumpanakis, Dimitrios; Sladoje, Nataša et al.

Part of Scientific Reports, 2023

• DOI for Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography
• Download full text (pdf) of Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography

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

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of 2024 IEEE International Symposium on Biomedical Imaging (ISBI), p. 1-5, 2024

• DOI for CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up
• Download full text (pdf) of CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up

CAST: Channel Aware Swin Transformers for Post-Operative Glioblastoma Segmentation

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of 3rd International Workshop on Pattern Recognition in Healthcare Analytics PRHA, p. 243-257, 2024

• DOI for CAST: Channel Aware Swin Transformers for Post-Operative Glioblastoma Segmentation

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

Pal, Subhash Chandra; Toumpanakis, Dimitrios; Wikström, Johan; Ahuja, Chirag Kamal et al.

Part of Pattern Recognition, p. 233-242, 2024

• DOI for Context-Aware Preprocessing Method for Reduction of Volume of Interest Towards Quantification of Pre- and Post-Treatment Intracranial Aneurysms in MRA

Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor

Kundu, Swagata; Toumpanakis, Dimitrios; Wikström, Johan; Strand, Robin et al.

Part of Computer Vision and Image Processing, p. 234-245, 2024

• DOI for Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor

Automated Segmentation of Post-Treatment Intracranial Aneurysms from MRA Images: A U-Net based Approach

Pal, Subhash Chandra; Toumpanakis, Dimitrios; Wikström, Johan; Ahuja, Chirag Kamal et al.

Part of 21st IEEE India Council International Conference (INDICON), 2024

• DOI for Automated Segmentation of Post-Treatment Intracranial Aneurysms from MRA Images: A U-Net based Approach

Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma

Banerjee, Subhashis; Toumpanakis, Dimitrios; Dhara, Ashis; Wikström, Johan et al.

Part of Medical Imaging 2023, 2023

• DOI for Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma

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

Kundu, Swagata; Banerjee, Subhashis; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of Pattern Recognition and Machine Intelligence, PREMI 2023, p. 380-387, 2023

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

Topology-Aware Learning for Volumetric Cerebrovascular Segmentation

Banerjee, Subhashis; Toumpanakis, Dimitrios; Dhara, Ashis Kumar; Wikström, Johan et al.

Part of 2022 IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2022), p. 1-4, 2022

• DOI for Topology-Aware Learning for Volumetric Cerebrovascular Segmentation
• Download full text (pdf) of Topology-Aware Learning for Volumetric Cerebrovascular Segmentation

Segmentation of Major Cerebral Vessel from MRA images and Evaluation using U-Net Family

Pal, Subhash; Banerjee, Subhashis; Toumpanakis, Dimitrios; Wikström, Johan et al.

Part of 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), p. 235-238, 2022

• DOI for Segmentation of Major Cerebral Vessel from MRA images and Evaluation using U-Net Family

Segmentation and Measurements of Major Blood Vessels from CT Pulmonary Angiography Using Deep Learning

Kahraman, Ali Teymur; Fröding, Tomas; Toumpanakis, Dimitrios; Gustafsson, Christian Jamtheim et al.

• DOI for Segmentation and Measurements of Major Blood Vessels from CT Pulmonary Angiography Using Deep Learning