A Bag of Words approach for discriminating between retinal images containing exudates or drusen. - Mark J. J. P. van Grinsven; Arunava Chakravarty; Jayanthi Sivaswamy; Thomas Theelen; Bram van Ginneken; Clara I. Sánchez (ISBI, 2013)

Visual saliency based bright lesion detection and discrimination in retinal images. - Ujjwal; K. Sai Deepak; Arunava Chakravarty; Jayanthi Sivaswamy (ISBI, 2013)

Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image. - Arunava Chakravarty; Jayanthi Sivaswamy (MICCAI (1), 2014)

An assistive annotation system for retinal images. - Ujjwal; Arunava Chakravarty; Jayanthi Sivaswamy (ISBI, 2015)

Glaucoma classification with a fusion of segmentation and image-based features. - Arunava Chakravarty; Jayanthi Sivaswamy (ISBI, 2016)

End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography. - Arunava Chakravarty; Jayanthi Sivaswamy (MIUA, 2017)

Joint optic disc and cup boundary extraction from monocular fundus images. - Arunava Chakravarty; Jayanthi Sivaswamy (Comput. Methods Programs Biomed., 2017)

Construction of a Retinal Atlas for Macular OCT Volumes. - Arunava Chakravarty; Divya Jyothi Gaddipati; Jayanthi Sivaswamy (ICIAR, 2018)

A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field. - Arunava Chakravarty; Jayanthi Sivaswamy (Comput. Methods Programs Biomed., 2018)

A Deep Learning based Joint Segmentation and Classification Framework for Glaucoma Assesment in Retinal Color Fundus Images. - Arunava Chakravarty; Jayanthi Sivaswamy (CoRR, 2018)

RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation. - Arunava Chakravarty; Jayanthi Sivaswamy (IEEE J. Biomed. Health Informatics, 2019)

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. - Arunava Chakravarty; Tandra Sarkar; Nirmalya Ghosh; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. - Sarath Chandra K; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. - Arka Mitra; Arunava Chakravarty; Nirmalya Ghosh; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Covid19action-radiology-CXR. - Debdoot Sheet; Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Aditya Raj; Velmurugan Balasubramanian; Ronnie Rajan; Rachana Sathish; Nishant Chakravorty; Manjira Sinha; Manoj Sharma; Vikas Kumar; et al. (IEEE DataPort, 2020)

Federated Learning for Site Aware Chest Radiograph Screening. - Arunava Chakravarty; Avik Kar; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2021)

TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. - Taha Emre; Arunava Chakravarty; Antoine Rivail; Sophie Riedl; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (2), 2022)

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). - Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Ramanathan Sethuraman; Debdoot Sheet (IEEE DataPort, 2022)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. - 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 (OMIA@MICCAI, 2023)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT. - 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 (CoRR, 2023)

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. - 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 (CoRR, 2023)

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. - 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 (MICCAI (5), 2024)

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations. - Taha Emre; Arunava Chakravarty; Dmitry A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (12), 2024)

Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency. - Arunava Chakravarty; Taha Emre; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MIDL, 2024)

Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT. - Taha Emre; Arunava Chakravarty; Dmitrii A. Lachinov; Antoine Rivail; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (CoRR, 2024)

Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. - Dmitrii A. Lachinov; Arunava Chakravarty; Christoph Grechenig; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (IEEE Trans. Medical Imaging, 2024)

Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. - 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 (IEEE Trans. Medical Imaging, 2024)

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. - 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; et al. (IEEE Trans. Medical Imaging, 2024)