Vandan Gorade

According to our database, Vandan Gorade authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

Medical Image Anal., 2025

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, Daniela P. Ladner, Amir Borhani, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

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

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

CoRR, 2024

OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation.

Azad Singh, Vandan Gorade, Deepak Mishra

CoRR, 2024

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning.

Azad Singh, Vandan Gorade, Deepak Mishra

CoRR, 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

SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation.

Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation.

Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation.

Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci

Proceedings of the Pattern Recognition - 27th International Conference, 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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification.

Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci

Proceedings of the Pattern Recognition - 27th International Conference, 2024

GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization.

Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis.

Vandan Gorade, Sparsh Mittal, Rekha Singhal

Comput. Biol. Medicine, December, 2023

2022

Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping.

Vandan Gorade, Azad Singh, Deepak Mishra

CoRR, 2022

MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract).

Vandan Gorade, Azad Singh, Deepak Mishra

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022