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2020 – today
- 2024
[i29]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 abs/2401.12032 (2024)- 2023
- [j9]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) - [i28]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 abs/2304.09218 (2023) - [i27]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:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i26]David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet:
Conformal prediction under ambiguous ground truth. CoRR abs/2307.09302 (2023) - 2022
- [j8]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: 102274 (2022) - [i25]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 abs/2205.09723 (2022) - 2021
- [i24]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 abs/2104.03829 (2021) - [i23]Jie Ren, Stanislav Fort, Jeremiah Z. Liu, Abhijit Guha Roy, Shreyas Padhy, Balaji Lakshminarayanan:
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection. CoRR abs/2106.09022 (2021) - 2020
- [j7]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) - [j6]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging 39(7): 2461-2471 (2020) - [c21]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: 270-280 - [c20]Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. MLMI@MICCAI 2020: 423-433 - [i22]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets with Project & Excite. CoRR abs/2002.10994 (2020) - [i21]Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. CoRR abs/2005.00079 (2020) - [i20]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 abs/2007.05566 (2020) - [i19]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 abs/2008.12680 (2020)
2010 – 2019
- 2019
- [j5]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: 713-727 (2019) - [j4]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: 11-22 (2019) - [j3]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): 540-549 (2019) - [c19]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: 517-529 - [c18]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: 35-46 - [c17]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) 2019: 39-47 - [c16]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: 99-107 - [c15]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: 438-446 - [i18]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 abs/1901.04420 (2019) - [i17]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR abs/1902.01314 (2019) - [i16]Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Y.-S. Fang, Nassir Navab:
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. CoRR abs/1904.03110 (2019) - [i15]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR abs/1905.06731 (2019) - [i14]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR abs/1906.04649 (2019) - 2018
- [c14]Sailesh Conjeti, Magdalini Paschali, Abhijit Guha Roy, Nassir Navab:
Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. Bildverarbeitung für die Medizin 2018: 35 - [c13]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: 42 - [c12]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI 2018: 145-148 - [c11]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: 578-581 - [c10]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:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. DLMIA/ML-CDS@MICCAI 2018: 227-235 - [c9]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. MICCAI (1) 2018: 421-429 - [c8]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) 2018: 664-672 - [i13]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR abs/1801.04161 (2018) - [i12]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. CoRR abs/1803.02579 (2018) - [i11]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR abs/1804.07046 (2018) - [i10]Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy, Nassir Navab, Kuangyu Shi:
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. CoRR abs/1806.11475 (2018) - [i9]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. CoRR abs/1808.08127 (2018) - [i8]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:
Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. CoRR abs/1810.05733 (2018) - [i7]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR abs/1810.05735 (2018) - [i6]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR abs/1811.09800 (2018) - 2017
- [c7]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: 1024-1027 - [c6]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: 231-239 - [c5]Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab:
Hashing with Residual Networks for Image Retrieval. MICCAI (3) 2017: 541-549 - [i5]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 abs/1704.02161 (2017) - [i4]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 abs/1705.00938 (2017) - 2016
- [j2]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: 1-17 (2016) - [j1]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab Kumar 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): 606-614 (2016) - [c4]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: 1340-1343 - [c3]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: 1359-1362 - [i3]Abhijit Guha Roy, Debdoot Sheet:
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout. CoRR abs/1603.06060 (2016) - [i2]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 abs/1609.05871 (2016) - [i1]Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab:
Deep Residual Hashing. CoRR abs/1612.05400 (2016) - 2015
- [c2]Abhijit Guha Roy, Debdoot Sheet:
DASA: Domain adaptation in stacked autoencoders using systematic dropout. ACPR 2015: 735-739 - [c1]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab Kumar 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: 428-431
Coauthor Index
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