Abhijit Guha Roy

60 papers Journal 39Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating medical AI systems in dermatology under uncertain ground truth. Medical Image Anal. 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
2024	J	`jnl`	MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR 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
2023	J	`jnl`	Conformal prediction under ambiguous ground truth. CoRR David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
2023	J	`jnl`	Conformal prediction under ambiguous ground truth. Trans. Mach. Learn. Res. David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet
2023	J	`jnl`	Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. 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
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR 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
2022	J	`jnl`	Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Anal. 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
2022	J	`jnl`	Robust and Efficient Medical Imaging with Self-Supervision. CoRR 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
2021	J	`jnl`	A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection. CoRR Jie Ren, Stanislav Fort, Jeremiah Z. Liu, Abhijit Guha Roy, Shreyas Padhy, Balaji Lakshminarayanan
2021	J	`jnl`	Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions. CoRR 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
2020	J	`jnl`	'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2020	—	`conf`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	J	`jnl`	Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger
2020	J	`jnl`	Contrastive Training for Improved Out-of-Distribution Detection. CoRR 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
2020	—	`conf`	Importance Driven Continual Learning for Segmentation Across Domains. MLMI@MICCAI Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
2020	J	`jnl`	Importance Driven Continual Learning for Segmentation Across Domains. CoRR Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
2020	J	`jnl`	Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
2020	J	`jnl`	Recalibrating 3D ConvNets with Project & Excite. CoRR Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
2019	—	`conf`	'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
2019	J	`jnl`	'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
2019	J	`jnl`	'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2019	—	`conf`	3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. MICCAI (3) Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
2019	J	`jnl`	3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. CoRR Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab
2019	—	`conf`	An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019	J	`jnl`	Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2019	J	`jnl`	BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
2019	J	`jnl`	Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab
2019	—	`conf`	Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab
2019	—	`conf`	Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger
2019	J	`jnl`	QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. IEEE Trans. Medical Imaging Abhijit Guha Roy, Nassir Navab, Christian Wachinger
2018	—	`conf`	Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab
2018	—	`conf`	Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018	J	`jnl`	Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018	—	`conf`	Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. MICCAI (1) Abhijit Guha Roy, Nassir Navab, Christian Wachinger
2018	J	`jnl`	Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. CoRR Abhijit Guha Roy, Nassir Navab, Christian Wachinger
2018	J	`jnl`	InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
2018	—	`conf`	InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab
2018	—	`conf`	Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018	J	`jnl`	Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018	—	`conf`	Learning Optimal Deep Projection of DLMIA/ML-CDS@MICCAI 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
2018	J	`jnl`	Learning Optimal Deep Projection of CoRR 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
2018	—	`conf`	Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. ISBI Kausik Das, Sailesh Conjeti, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet
2018	J	`jnl`	QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger
2018	J	`jnl`	Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. CoRR Abhijit Guha Roy, Nassir Navab, Christian Wachinger
2018	J	`jnl`	SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi
2017	—	`conf`	Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. ISBI Kausik Das, Sri Phani Krishna Karri, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet
2017	—	`conf`	Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. MICCAI (3) Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
2017	J	`jnl`	Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
2017	—	`conf`	Hashing with Residual Networks for Image Retrieval. MICCAI (3) Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
2017	J	`jnl`	ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab
2016	J	`jnl`	DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout. CoRR Abhijit Guha Roy, Debdoot Sheet
2016	J	`jnl`	Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography. CoRR Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas
2016	J	`jnl`	Deep Residual Hashing. CoRR Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
2016	—	`conf`	Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. EMBC Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas
2016	J	`jnl`	Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab Kumar Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
2016	—	`conf`	Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Khalil Houissa, Andreas König, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
2016	J	`jnl`	Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab
2015	—	`conf`	Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab Kumar Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian
2015	—	`conf`	DASA: Domain adaptation in stacked autoencoders using systematic dropout. ACPR Abhijit Guha Roy, Debdoot Sheet