Dimitrios Toumpanakis

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.

Ingår i SN Computer Science, 2025

• DOI för 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.

Ingår i IET Image Processing, 2025

• DOI för Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA
• Ladda ner fulltext (pdf) av Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA

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.

Ingår i Network Modeling Analysis in Health Informatics and Bioinformatics, 2025

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

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

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

Ingår i 3rd International Workshop on Pattern Recognition in Healthcare Analytics PRHA, s. 243-257, 2024

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

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.

Ingår i NEUROTRAUMA REPORTS, s. 1009-1015, 2024

• DOI för Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans
• Ladda ner fulltext (pdf) av Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans

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.

Ingår i SN Computer Science, 2025

• DOI för 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.

Ingår i IET Image Processing, 2025

• DOI för Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA
• Ladda ner fulltext (pdf) av Computer‐Aided Volumetric Quantification of Pre‐ and Post‐Treatment Intracranial Aneurysms in MRA

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.

Ingår i Network Modeling Analysis in Health Informatics and Bioinformatics, 2025

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

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.

Ingår i NEUROTRAUMA REPORTS, s. 1009-1015, 2024

• DOI för Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans
• Ladda ner fulltext (pdf) av 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.

Ingår i IET Image Processing, s. 4928-4943, 2024

• DOI för Atten-SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over-segmentation
• Ladda ner fulltext (pdf) av 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.

Ingår i Heliyon, 2024

• DOI för Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography.
• Ladda ner fulltext (pdf) av 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.

Ingår i Scientific Reports, 2024

• DOI för Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring
• Ladda ner fulltext (pdf) av Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring

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.

Ingår i SN computer science, 2024

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

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.

Ingår i IEEE Transactions on Nanobioscience, s. 167-175, 2024

• DOI för 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.

Ingår i SN Computer Science, 2023

• DOI för 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.

Ingår i Scientific Reports, 2023

• DOI för Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography
• Ladda ner fulltext (pdf) av Automated detection, segmentation and measurement of major vessels and the trachea in CT pulmonary angiography

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

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

Ingår i 3rd International Workshop on Pattern Recognition in Healthcare Analytics PRHA, s. 243-257, 2024

• DOI för 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.

Ingår i Pattern Recognition, s. 233-242, 2024

• DOI för 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.

Ingår i Computer Vision and Image Processing, s. 234-245, 2024

• DOI för 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.

Ingår i 21st IEEE India Council International Conference (INDICON), 2024

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

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

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

Ingår i 2024 IEEE International Symposium on Biomedical Imaging (ISBI), s. 1-5, 2024

• DOI för CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up
• Ladda ner fulltext (pdf) av CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up

Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma

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

Ingår i Medical Imaging 2023, 2023

• DOI för 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.

Ingår i Pattern Recognition and Machine Intelligence, PREMI 2023, s. 380-387, 2023

• DOI för 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.

Ingår i 2022 IEEE International Symposium on Biomedical Imaging (IEEE ISBI 2022), s. 1-4, 2022

• DOI för Topology-Aware Learning for Volumetric Cerebrovascular Segmentation
• Ladda ner fulltext (pdf) av 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.

Ingår i 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), s. 235-238, 2022

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