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Abhijit Guha Roy

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

1

Active years

2017–2020

Best venue rank

A

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2020MICCAIImportance Driven Continual Learning for Segmentation Across Domains.Sinan zgr zgn, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
2020MICCAIBayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Plsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2019MICCAI3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation.Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
2019MICCAIPrediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images.Sebastian Plsterl, Benjamn Gutirrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019MICCAIAn AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features.Sebastian Plsterl, Benjamn Gutirrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019MICCAI'Project & Excite' Modules for Segmentation of Volumetric Medical Scans.Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
2018MICCAILearning Optimal Deep Projection ofShubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Frster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi
2018MICCAIInherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling.Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018MICCAIConcurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks.Abhijit Guha Roy, Nassir Navab, Christian Wachinger
2017MICCAIHashing with Residual Networks for Image Retrieval.Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
2017MICCAIError Corrective Boosting for Learning Fully Convolutional Networks with Limited Data.Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger