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2020 – today
- 2024
[c5]Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal:
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization. EMNLP 2024: 19046-19059- [c4]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. ISBI 2024: 1-6 - [c3]Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. MICCAI (1) 2024: 242-252 - [c2]Vandan Gorade
, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV 2024: 7753-7762 - [i9]Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci:
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR abs/2401.10373 (2024) - [i8]Azad Singh, Vandan Gorade, Deepak Mishra:
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning. CoRR abs/2403.11504 (2024) - [i7]Azad Singh, Vandan Gorade, Deepak Mishra:
OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation. CoRR abs/2404.11868 (2024) - [i6]Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci:
PAM-UNet: Shifting Attention on Region of Interest in Medical Images. CoRR abs/2405.01503 (2024) - [i5]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:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i4]Vandan Gorade, Onkar Susladkar, Gorkem Durak, Elif Keles, Ertugrul Aktas, Timurhan Cebeci, Alpay Medetalibeyoglu, Daniela P. Ladner, Debesh Jha, Ulas Bagci:
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs. CoRR abs/2408.04491 (2024) - 2023
- [j1]Vandan Gorade, Sparsh Mittal, Rekha Singhal:
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. Comput. Biol. Medicine 167: 107569 (2023) - [i3]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR abs/2310.17764 (2023) - [i2]Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR abs/2311.16700 (2023) - 2022
- [c1]Vandan Gorade, Azad Singh, Deepak Mishra:
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). AAAI 2022: 12957-12958 - [i1]Vandan Gorade, Azad Singh, Deepak Mishra:
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping. CoRR abs/2204.11291 (2022)
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