A mathematical reusability model for quantifying the reduction in development effort. - Dipankar Majumdar; Sabnam Sengupta; Ananya Kanjilal; Swagata Kundu; Swapan Bhattacharya (ACM SIGSOFT Softw. Eng. Notes, 2010)

Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives. - Swagata Kundu; Vikrant Anilrao Karale; Goutam Kumar Ghorai; Gautam Sarkar; Sambuddha Ghosh; Ashis Kumar Dhara (J. Digit. Imaging, 2022)

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 (PReMI, 2023)

CAST: Channel Aware Swin Transformers for Post-operative Glioblastoma Segmentation. - Swagata Kundu; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (ICPR (Workshops and Challenges, 5), 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 (ISBI, 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)

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., 2024)