DASA: Domain adaptation in stacked autoencoders using systematic dropout. - Abhijit Guha Roy; Debdoot Sheet (ACPR, 2015)

Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Andreas König 005; Adnan Kastrati; Pranab Kumar Dutta; Andrew F. Laine; Nassir Navab; Debdoot Sheet; Amin Katouzian (ISBI, 2015)

Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. - Avisek Lahiri; Abhijit Guha Roy; Debdoot Sheet; Prabir Kumar Biswas (EMBC, 2016)

Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Khalil Houissa; Andreas König 005; Pranab K. Dutta; Andrew F. Laine; Nassir Navab; Amin Katouzian; Debdoot Sheet (ISBI, 2016)

Deep Residual Hashing. - Sailesh Conjeti; Abhijit Guha Roy; Amin Katouzian; Nassir Navab (CoRR, 2016)

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. - Sailesh Conjeti; Amin Katouzian; Abhijit Guha Roy; Loïc Peter; Debdoot Sheet; Stéphane G. Carlier; Andrew Laine; Nassir Navab (Medical Image Anal., 2016)

Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. - Abhijit Guha Roy; Sailesh Conjeti; Stephane G. Carlier; Pranab Kumar Dutta; Adnan Kastrati; Andrew F. Laine; Nassir Navab; Amin Katouzian; Debdoot Sheet (IEEE J. Biomed. Health Informatics, 2016)

Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. - Kausik Das; Sri Phani Krishna Karri; Abhijit Guha Roy; Jyotirmoy Chatterjee; Debdoot Sheet (ISBI, 2017)

Hashing with Residual Networks for Image Retrieval. - Sailesh Conjeti; Abhijit Guha Roy; Amin Katouzian; Nassir Navab (MICCAI (3), 2017)

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. - Abhijit Guha Roy; Sailesh Conjeti; Debdoot Sheet; Amin Katouzian; Nassir Navab; Christian Wachinger (MICCAI (3), 2017)

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. - Abhijit Guha Roy; Sailesh Conjeti; Sri Phani Krishna Karri; Debdoot Sheet; Amin Katouzian; Christian Wachinger; Nassir Navab (CoRR, 2017)

Abstract: Deep Hashing for Large-Scale Medical Image Retrieval. - Sailesh Conjeti; Magdalini Paschali; Abhijit Guha Roy; Nassir Navab (Bildverarbeitung für die Medizin, 2018)

Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (Bildverarbeitung für die Medizin, 2018)

Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification. - Kausik Das; Sailesh Conjeti; Abhijit Guha Roy; Jyotirmoy Chatterjee; Debdoot Sheet (ISBI, 2018)

InfiNet: Fully convolutional networks for infant brain MRI segmentation. - Shubham Kumar; Sailesh Conjeti; Abhijit Guha Roy; Christian Wachinger; Nassir Navab (ISBI, 2018)

Learning Optimal Deep Projection of 18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes. - Shubham Kumar; Abhijit Guha Roy; Ping Wu 003; Sailesh Conjeti; R. S. Anand; Jian Wang 009; Igor Yakushev; Stefan Förster; Markus Schwaiger; Sung-Cheng Huang; Axel Rominger; Chuantao Zuo; et al. (DLMIA/ML-CDS@MICCAI, 2018)

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (MICCAI (1), 2018)

Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (MICCAI (1), 2018)

QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (CoRR, 2018)

SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis. - Deepa Gunashekar; Sailesh Conjeti; Abhijit Guha Roy; Nassir Navab; Kuangyu Shi (CoRR, 2018)

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (CoRR, 2018)

Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. - Magdalini Paschali; Walter Simson; Abhijit Guha Roy; Rüdiger Göbl; Christian Wachinger; Nassir Navab (IPMI, 2019)

3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation. - Magdalini Paschali; Stefano Gasperini; Abhijit Guha Roy; Michael Y.-S. Fang; Nassir Navab (MICCAI (3), 2019)

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Nassir Navab; Christian Wachinger (MICCAI (2), 2019)

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. - Magdalini Paschali; Walter Simson; Abhijit Guha Roy; Muhammad Ferjad Naeem; Rüdiger Göbl; Christian Wachinger; Nassir Navab (CoRR, 2019)

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. - Abhijit Guha Roy; Shayan Siddiqui; Sebastian Pölsterl; Nassir Navab; Christian Wachinger (CoRR, 2019)

Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger (NeuroImage, 2019)

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. - Abhijit Guha Roy; Sailesh Conjeti; Nassir Navab; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. - Abhijit Guha Roy; Nassir Navab; Christian Wachinger (IEEE Trans. Medical Imaging, 2019)

Importance Driven Continual Learning for Segmentation Across Domains. - Sinan Özgür Özgün; Anne-Marie Rickmann; Abhijit Guha Roy; Christian Wachinger (MLMI@MICCAI, 2020)

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. - Jyotirmay Senapati; Abhijit Guha Roy; Sebastian Pölsterl; Daniel Gutmann; Sergios Gatidis; Christopher Schlett; Annette Peters; Fabian Bamberg; Christian Wachinger (MLMI@MICCAI, 2020)

Contrastive Training for Improved Out-of-Distribution Detection. - 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; et al. (CoRR, 2020)

'Squeeze & excite' guided few-shot segmentation of volumetric images. - Abhijit Guha Roy; Shayan Siddiqui; Sebastian Pölsterl; Nassir Navab; Christian Wachinger (Medical Image Anal., 2020)

Recalibrating 3D ConvNets With Project & Excite. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Christian Wachinger (IEEE Trans. Medical Imaging, 2020)

A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection. - Jie Ren 006; Stanislav Fort; Jeremiah Z. Liu; Abhijit Guha Roy; Shreyas Padhy; Balaji Lakshminarayanan (CoRR, 2021)

Robust and Efficient Medical Imaging with Self-Supervision. - Shekoofeh Azizi; Laura Culp; Jan Freyberg; Basil Mustafa; Sebastien Baur; Simon Kornblith; Ting Chen 007; Patricia MacWilliams; S. Sara Mahdavi; Ellery Wulczyn; Boris Babenko; Megan Wilson; et al. (CoRR, 2022)

Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. - Abhijit Guha Roy; Jie Ren 006; Shekoofeh Azizi; Aaron Loh; Vivek Natarajan; Basil Mustafa; Nick Pawlowski; Jan Freyberg; Yuan Liu; Zachary Beaver; Nam Vo; Peggy Bui; et al. (Medical Image Anal., 2022)

Generative models improve fairness of medical classifiers under distribution shifts. - 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 (CoRR, 2023)

Evaluating AI systems under uncertain ground truth: a case study in dermatology. - 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; et al. (CoRR, 2023)

Conformal prediction under ambiguous ground truth. - David Stutz; Abhijit Guha Roy; Tatiana Matejovicova; Patricia Strachan; Ali Taylan Cemgil; Arnaud Doucet (Trans. Mach. Learn. Res., 2023)

MINT: A wrapper to make multi-modal and multi-image AI models interactive. - Jan Freyberg; Abhijit Guha Roy; Terry Spitz; Beverly Freeman; Mike Schaekermann; Patricia Strachan; Eva Schnider; Renee Wong; Dale R. Webster; Alan Karthikesalingam; Yun Liu 013; Krishnamurthy Dvijotham; et al. (CoRR, 2024)

Evaluating medical AI systems in dermatology under uncertain ground truth. - 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; et al. (Medical Image Anal., 2025)