Arunava Chakravarty

34 papers Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Stochastic Siamese MAE Pretraining for Longitudinal Medical Images. CoRR Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	J	`jnl`	3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. IEEE Trans. Medical Imaging Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	—	`conf`	Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. MICCAI (5) Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	J	`jnl`	Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. CoRR Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	J	`jnl`	Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. IEEE Trans. Medical Imaging Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	—	`conf`	Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. MICCAI (12) Taha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	J	`jnl`	Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. IEEE Trans. Medical Imaging Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	—	`conf`	Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency. MIDL Arunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2024	J	`jnl`	Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. CoRR Taha Emre, Arunava Chakravarty, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023	J	`jnl`	3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs. CoRR Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitrii A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023	J	`jnl`	Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. CoRR Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023	J	`jnl`	Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. CoRR Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2023	—	`conf`	Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. OMIA@MICCAI Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022	J	`jnl`	Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data. CoRR Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022	J	`jnl`	TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. CoRR Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2022	—	`conf`	TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. MICCAI (2) Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
2021	—	`conf`	Federated Learning for Site Aware Chest Radiograph Screening. ISBI Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet
2020	—	`conf`	A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. EMBC Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
2020	J	`jnl`	A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. CoRR Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
2020	—	`conf`	A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. EMBC Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
2020	J	`jnl`	A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. CoRR Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
2020	—	`conf`	Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. EMBC Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
2020	J	`jnl`	Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. CoRR Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet
2019	J	`jnl`	RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics Arunava Chakravarty, Jayanthi Sivaswamy
2018	J	`jnl`	A Deep Learning based Joint Segmentation and Classification Framework for Glaucoma Assesment in Retinal Color Fundus Images. CoRR Arunava Chakravarty, Jayanthi Sivaswamy
2018	J	`jnl`	A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field. Comput. Methods Programs Biomed. Arunava Chakravarty, Jayanthi Sivaswamy
2018	—	`conf`	Construction of a Retinal Atlas for Macular OCT Volumes. ICIAR Arunava Chakravarty, Divya Jyothi Gaddipati, Jayanthi Sivaswamy
2017	—	`conf`	End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography. MIUA Arunava Chakravarty, Jayanthi Sivaswamy
2017	J	`jnl`	Joint optic disc and cup boundary extraction from monocular fundus images. Comput. Methods Programs Biomed. Arunava Chakravarty, Jayanthi Sivaswamy
2016	—	`conf`	Glaucoma classification with a fusion of segmentation and image-based features. ISBI Arunava Chakravarty, Jayanthi Sivaswamy
2015	—	`conf`	An assistive annotation system for retinal images. ISBI Ujjwal, Arunava Chakravarty, Jayanthi Sivaswamy
2014	—	`conf`	Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image. MICCAI (1) Arunava Chakravarty, Jayanthi Sivaswamy
2013	—	`conf`	A Bag of Words approach for discriminating between retinal images containing exudates or drusen. ISBI Mark J. J. P. van Grinsven, Arunava Chakravarty, Jayanthi Sivaswamy, Thomas Theelen, Bram van Ginneken, Clara I. Sánchez
2013	—	`conf`	Visual saliency based bright lesion detection and discrimination in retinal images. ISBI Ujjwal, K. Sai Deepak, Arunava Chakravarty, Jayanthi Sivaswamy