MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). - Vandan Gorade; Azad Singh; Deepak Mishra 003 (AAAI, 2022)

PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. - Vandan Gorade; Sparsh Mittal; Rekha Singhal (Comput. Biol. Medicine, 2023)

PAM-UNet: Shifting Attention on Region of Interest in Medical Images. - Abhijit Das; Debesh Jha; Vandan Gorade; Koushik Biswas; Hongyi Pan; Zheyuan Zhang; Daniela P. Ladner; Yury Velichko; Amir Borhani; Ulas Bagci (EMBC, 2024)

GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization. - Onkar Susladkar; Gayatri Deshmukh; Vandan Gorade; Sparsh Mittal (EMNLP, 2024)

ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. - Abhijit Das; Vandan Gorade; Debesh Jha; Koushik Biswas; Pethuru Raj 001; Ulas Bagci (ICPR (7), 2024)

SEANet: Rethinking Skip-Connections Design in Encoder-Decoder Networks via Synergistic Spatial-Spectral Fusion for LDCT Denoising. - Abhijit Das; Vandan Gorade; Dwarikanath Mahapatra; Sudipta Roy 002 (ICPR (12), 2024)

Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Rekha Singhal; Ulas Bagci (ICPR (13), 2024)

Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Ulas Bagci (ISBI, 2024)

Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. - Abhijit Das; Vandan Gorade; Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Sudipta Roy 002 (MICCAI (1), 2024)

SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Ulas Bagci (WACV, 2024)

Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Debesh Jha; Rekha Singhal; Ulas Bagci (CoRR, 2024)

OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation. - Azad Singh; Vandan Gorade; Deepak Mishra 003 (CoRR, 2024)

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. - Vandan Gorade; Onkar Susladkar; Gorkem Durak; Elif Keles; Ertugrul Aktas; Timurhan Cebeci; Alpay Medetalibeyoglu; Daniela P. Ladner; Debesh Jha; Ulas Bagci (CoRR, 2024)

CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver. - Debesh Jha; Onkar Susladkar; Vandan Gorade; Elif Keles; Matthew Antalek; Deniz Seyithanoglu; Timurhan Cebeci; Ertugrul Aktas; Gulbiz Dagoglu Kartal; Sabahattin Kaymakoglu; Sukru Mehmet Erturk; Yuri S. Velichko; et al. (CoRR, 2024)

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning. - Azad Singh; Vandan Gorade; Deepak Mishra 003 (IEEE J. Biomed. Health Informatics, 2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Vandan Gorade; Abhijit Das; et al. (ICASSP, 2025)

OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis. - Vandan Gorade; Azad Singh; Deepak Mishra 003 (WACV, 2025)

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. - Zheyuan Zhang; Elif Keles; Gorkem Durak; Yavuz Taktak; Onkar Susladkar; Vandan Gorade; Debesh Jha; Asli C. Ormeci; Alpay Medetalibeyoglu; Lanhong Yao; Bin Wang 068; Ilkin Sevgi Isler; et al. (Medical Image Anal., 2025)

Large Scale Time-Series Representation Learning via Simultaneous Low- and High-Frequency Feature Bootstrapping. - Vandan Gorade; Azad Singh; Deepak Mishra 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation. - Vandan Gorade; Sparsh Mittal; Neethi Dasu; Rekha Singhal; KC Santosh; Debesh Jha (CoRR, 2025)