Vandan Gorade - RankMe

26 papers A* 2A 2Misc 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation. CoRR Vandan Gorade, Sparsh Mittal, Neethi Dasu, Rekha Singhal, KC Santosh, Debesh Jha
2025	J	`jnl`	Large Scale Time-Series Representation Learning via Simultaneous Low- and High-Frequency Feature Bootstrapping. IEEE Trans. Neural Networks Learn. Syst. Vandan Gorade, Azad Singh, Deepak Mishra
2025	J	`jnl`	Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. Medical Image Anal. 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
2025	Misc	`conf`	MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. ICASSP Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci
2025	A	`conf`	OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis. WACV Vandan Gorade, Azad Singh, Deepak Mishra
2024	J	`jnl`	CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver. CoRR 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
2024	—	`conf`	Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. MICCAI (1) Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy
2024	A*	`conf`	GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization. EMNLP Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal
2024	—	`conf`	Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. ICPR (13) Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci
2024	J	`jnl`	Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci
2024	J	`jnl`	Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR 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
2024	J	`jnl`	MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning. IEEE J. Biomed. Health Informatics Azad Singh, Vandan Gorade, Deepak Mishra
2024	J	`jnl`	MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning. CoRR Azad Singh, Vandan Gorade, Deepak Mishra
2024	J	`jnl`	OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation. CoRR Azad Singh, Vandan Gorade, Deepak Mishra
2024	—	`conf`	PAM-UNet: Shifting Attention on Region of Interest in Medical Images. EMBC Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci
2024	J	`jnl`	PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci
2024	—	`conf`	ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. ICPR (7) Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci
2024	—	`conf`	Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. ISBI Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
2024	—	`conf`	SEANet: Rethinking Skip-Connections Design in Encoder-Decoder Networks via Synergistic Spatial-Spectral Fusion for LDCT Denoising. ICPR (12) Abhijit Das, Vandan Gorade, Dwarikanath Mahapatra, Sudipta Roy
2024	A	`conf`	SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
2024	J	`jnl`	Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. CoRR Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci
2023	J	`jnl`	PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. Comput. Biol. Medicine Vandan Gorade, Sparsh Mittal, Rekha Singhal
2023	J	`jnl`	Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
2023	J	`jnl`	SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
2022	J	`jnl`	Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping. CoRR Vandan Gorade, Azad Singh, Deepak Mishra
2022	A*	`conf`	MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). AAAI Vandan Gorade, Azad Singh, Deepak Mishra