Abhijit Guha Roy

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 57

Top Topics

Convolutional Network

Optical Coherence Tomography

Brain Segmentation

Top Venues

Medical Image Anal.

Publications

Jan Freyberg, Abhijit Guha Roy, Terry Spitz, Beverly Freeman, Mike Schaekermann, Patricia Strachan, Eva Schnider, Renee Wong, Dale R. Webster, Alan Karthikesalingam, Yun Liu, Krishnamurthy Dvijotham, Umesh Telang
MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR (2024)
David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. 2023 (2023)
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
Conformal prediction under ambiguous ground truth. CoRR (2023)
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR (2023)
Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
Robust and Efficient Medical Imaging with Self-Supervision. CoRR (2022)
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. 75 (2022)
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR (2021)
Jie Ren, Stanislav Fort, Jeremiah Liu, Abhijit Guha Roy, Shreyas Padhy, Balaji Lakshminarayanan
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection. CoRR (2021)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI (2020)
Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger
Contrastive Training for Improved Out-of-Distribution Detection. CoRR (2020)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
Recalibrating 3D ConvNets with Project & Excite. CoRR (2020)
Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
Importance Driven Continual Learning for Segmentation Across Domains. MLMI@MICCAI (2020)
Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
Importance Driven Continual Learning for Segmentation Across Domains. CoRR (2020)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging 39 (7) (2020)
Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR (2020)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR (2019)
Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI (2019)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. IEEE Trans. Medical Imaging 38 (2) (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI (2019)
Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. CoRR (2019)
Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. MICCAI (3) (2019)
Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186 (2019)
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR (2019)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195 (2019)
Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) (2019)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) (2018)
Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet
Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. ISBI (2018)
Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi
F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI (2018)
Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab
Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. CoRR (2018)
Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR (2018)
Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi
F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. CoRR (2018)
Abhijit Guha Roy, Nassir Navab, Christian Wachinger
Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. MICCAI (1) (2018)
Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR (2018)
Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI (2018)
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR (2017)
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR (2017)
Kausik Das, Sri Phani Krishna Karri, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet
Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. ISBI (2017)
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
Hashing with Residual Networks for Image Retrieval. MICCAI (3) (2017)
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. MICCAI (3) (2017)
Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas
Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. EMBC (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab K. Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics 20 (2) (2016)
Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography. CoRR (2016)
Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32 (2016)
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
Deep Residual Hashing. CoRR (2016)
Abhijit Guha Roy, Debdoot Sheet
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout. CoRR (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Khalil Houissa, Andreas König, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI (2016)
Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI (2015)
Abhijit Guha Roy, Debdoot Sheet
DASA: Domain adaptation in stacked autoencoders using systematic dropout. ACPR (2015)