Vandan Gorade
Orcid: 0000-0001-5389-3373
According to our database1,
Vandan Gorade
authored at least 11 papers
between 2022 and 2024.
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Bibliography
2024
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs.
CoRR, 2024
CoRR, 2024
OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation.
CoRR, 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning.
CoRR, 2024
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation.
CoRR, 2024
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis.
Comput. Biol. Medicine, December, 2023
2022
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping.
CoRR, 2022
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022