Arunava Chakravarty

Christoph Grechenig

IEEE Trans. Medical Imaging, March, 2024

2023

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.

[BibT_eX]

[DOI]

CoRR, 2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.

[BibT_eX]

[DOI]

CoRR, 2023

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.

[BibT_eX]

[DOI]

CoRR, 2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.

[BibT_eX]

[DOI]

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM).

[BibT_eX]

[DOI]

Tandra Sarkar

Rakshith Sathish

Dataset, March, 2022

TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Federated Learning for Site Aware Chest Radiograph Screening.

[BibT_eX]

[DOI]

Avik Kar

Velmurugan Balasubramanian

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Covid19action-radiology-CXR.

[BibT_eX]

[DOI]

Dataset, May, 2020

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.

[BibT_eX]

[DOI]

Tandra Sarkar

Nirmalya Ghosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

2018

A Deep Learning based Joint Segmentation and Classification Framework for Glaucoma Assesment in Retinal Color Fundus Images.

[BibT_eX]

[DOI]

CoRR, 2018

A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2018

Construction of a Retinal Atlas for Macular OCT Volumes.

[BibT_eX]

[DOI]

Divya Jyothi Gaddipati

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Joint optic disc and cup boundary extraction from monocular fundus images.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2017

End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Glaucoma classification with a fusion of segmentation and image-based features.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

An assistive annotation system for retinal images.

[BibT_eX]

[DOI]

Ujjwal

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image.

[BibT_eX]

[DOI]