Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection. - Rukhshanda Hussain; Yash Karbhari; Muhammad Fazal Ijaz; Marcin Wozniak; Pawan Kumar Singh; Ram Sarkar (Remote. Sens., 2021)

DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation. - Hritam Basak; Rukhshanda Hussain; Ajay Rana (SN Comput. Sci., 2021)

An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation. - Hritam Basak; Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee (ISBI, 2022)

An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation. - Hritam Basak; Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee (CoRR, 2022)

UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection. - Rukhshanda Hussain; Hritam Basak (CoRR, 2023)

PY-Net: Rethinking segmentation frameworks with dense pyramidal operations for optic disc and cup segmentation from retinal fundus images. - Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee; Dwipayan Paul; Saptarshi Chatterjee; Debangshu Dey (Biomed. Signal Process. Control., 2023)

Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. - Balamurali Murugesan; Rukhshanda Hussain; Rajarshi Bhattacharya; Ismail Ben Ayed; Jose Dolz (WACV, 2024)

FSViewFusion: Few-Shots View Generation of Novel Objects. - Rukhshanda Hussain; Hui Xian Grace Lim; Borchun Chen; Mubarak Shah; Ser Nam Lim (CoRR, 2024)

MDA-GAN: Multiscale and Dual Attention Generative Adversarial Network for Bone Suppression in Chest X-Rays. - Anushikha Singh; Rukhshanda Hussain; Rajarshi Bhattacharya; Brejesh Lall; Bijaya K. Panigrahi; Anjali Agrawal; Anurag Agrawal; Balamugesh Thangakunam; D. J. Christopher (IEEE Trans. Artif. Intell., 2025)