Efficient Global-Context driven Volumetric Segmentation of Abdominal Images. - Pallabi Dutta; Sushmita Mitra (BIBM, 2023)

Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation. - Shramana Dey; Pallabi Dutta; Sushmita Mitra; B. Uma Shankar (ISBI, 2023)

Full-Scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions. - Pallabi Dutta; Sushmita Mitra (ISBI, 2023)

Mixed Attention with Deep Supervision for Delineation of COVID Infection in Lung CT. - Pallabi Dutta; Sushmita Mitra (CoRR, 2023)

Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye. - Shramana Dey; Pallabi Dutta; Riddhasree Bhattacharyya; Surochita Pal Das; Sushmita Mitra; Rajiv Raman 004 (ICPR (28), 2024)

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation? - Pallabi Dutta; Soham Bose; Swalpa Kumar Roy; Sushmita Mitra (CoRR, 2024)

Exploiting Cross-Dimensional Dependency Using Vision-LSTM for Efficient Medical Image Segmentation. - Pallabi Dutta; Sushmita Mitra (ISBI, 2025)

Are Vision-xLSTM-embedded U-Nets better at segmenting medical images? - Pallabi Dutta; Soham Bose; Swalpa Kumar Roy; Sushmita Mitra (Neural Networks, 2025)

Wavelet-Infused Convolution-Transformer for Efficient Segmentation in Medical Images. - Pallabi Dutta; Sushmita Mitra; Swalpa Kumar Roy (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Prompt-based Dynamic Token Pruning to Guide Transformer Attention in Efficient Segmentation. - Pallabi Dutta; Anubhab Maity; Sushmita Mitra (CoRR, 2025)