Abhijit Guha Roy
Google (United States)(US)
Publications by Year
Research Areas
Advanced Neural Network Applications, Medical Image Segmentation Techniques, Domain Adaptation and Few-Shot Learning, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection
Most-Cited Works
- → Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks(2018)797 cited
- → ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks(2017)597 cited
- → Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks(2018)507 cited
- → QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy(2018)254 cited
- → Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging(2023)215 cited
- → BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning(2019)207 cited
- → ‘Squeeze & excite’ guided few-shot segmentation of volumetric images(2019)163 cited
- Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks(2018)
- → Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control(2019)128 cited
- → Generative models improve fairness of medical classifiers under distribution shifts(2024)103 cited