Arunava Chakravarty

742 citations

18 papers · 531 indexed · h-index 13

Ophthalmology top 2%
- Retinal Diseases and Treatments 6
- Glaucoma and retinal disorders 6
Radiology, Nuclear Medicine and Imaging top 5%
- Retinal Imaging and Analysis 13
- Radiomics and Machine Learning in Medical Imaging 2
Computer Vision and Pattern Recognition top 5%
- Digital Imaging for Blood Diseases 4
- Visual Attention and Saliency Detection 2
Health Informatics
Neurology
Epidemiology
- Acute Ischemic Stroke Management 3
Biomedical Engineering
- Optical Coherence Tomography Applications 2

Co-authors: Jayanthi Sivaswamy Gopal Datt Joshi Debdoot Sheet S. R. Krishnadas Ramanathan Sethuraman Ursula Schmidt‐Erfurth Bram van Ginneken Clara I. Sá‎nchez
Cited by: Ophthalmology Radiology, Nuclear Medicine and Imaging Computer Vision and Pattern Recognition
Partner nations: India Netherlands Austria

In The Last Decade

Arunava Chakravarty

18 papers receiving 514 citations

Peers

Countries citing papers authored by Arunava Chakravarty

Since Specialization

Citations

This map shows the geographic impact of Arunava Chakravarty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arunava Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunava Chakravarty more than expected).

Fields of papers citing papers by Arunava Chakravarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arunava Chakravarty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arunava Chakravarty. The network helps show where Arunava Chakravarty may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Arunava Chakravarty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arunava Chakravarty Line = papers co-authored together Arunava Chakravarty links everyone, so they are left out of the graph.

All Works

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18 of 18 papers shown

#	Work
1	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 Lotery,Ursula Schmidt‐Erfurth,Hrvoje Bogunović	2024	6
2	3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs Taha Emre,Arunava Chakravarty,Antoine Rivail,Dmitrii Lachinov,Oliver Leingang,Sophie Riedl,Julia Mai,Hendrik P. N. Scholl,Sobha Sivaprasad,Daniel Rueckert,Andrew Lotery,Ursula Schmidt‐Erfurth,Hrvoje Bogunović	2024	4
3	Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data Dmitrii Lachinov,Arunava Chakravarty,Christoph Grechenig,Ursula Schmidt‐Erfurth,Hrvoje Bogunović	2023	12
4	Training and pattern recognition by an opto-magnetic neural network Arunava Chakravarty,Johan H. Mentink,Sergey Semin,Th. Rasing	2022	3
5	Federated Learning for Site Aware Chest Radiograph Screening Arunava Chakravarty,Avik Kar,Ramanathan Sethuraman,Debdoot Sheet	2021	13
6	A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms Chandra K. Sarath,Arunava Chakravarty,Nirmalya Ghosh,Tandra Sarkar,Ramanathan Sethuraman,Debdoot Sheet	2020	7
7	Supervised learning of an opto-magnetic neural network with ultrashort laser pulses Arunava Chakravarty,Johan H. Mentink,C. S. Davies,Keitaro Yamada,A. V. Kimel,Th. Rasing	2019	16
8	A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field Arunava Chakravarty,Jayanthi Sivaswamy	2018	15
9	RACE-Net: A Recurrent Neural Network for Biomedical Image Segmentation Arunava Chakravarty,Jayanthi Sivaswamy	2018	64
10	Joint optic disc and cup boundary extraction from monocular fundus images Arunava Chakravarty,Jayanthi Sivaswamy	2017	53
11	Glaucoma classification with a fusion of segmentation and image-based features Arunava Chakravarty,Jayanthi Sivaswamy	2016	37
12	A Comprehensive Retinal Image Dataset for the Assessment of Glaucoma from the Optic Nerve Head Analysis Jayanthi Sivaswamy,Arunava Chakravarty,Gopal Datt Joshi,Tabish Abbas Syed	2015	198
13	An assistive annotation system for retinal images Ujjwal,Arunava Chakravarty,Jayanthi Sivaswamy	2015	6
14	Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs Lipi Chakrabarty,Gopal Datt Joshi,Arunava Chakravarty,Ganesh V. Raman,S. R. Krishnadas,Jayanthi Sivaswamy	2015	25
15	Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image Arunava Chakravarty,Jayanthi Sivaswamy	2014	16
16	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	2013	18
17	Visual saliency based bright lesion detection and discrimination in retinal images Ujjwal,K. Sai Deepak,Arunava Chakravarty,Jayanthi Sivaswamy	2013	20
18	A novel approach for quantification of retinal vessel tortuosity using quadratic polynomial decomposition Arunava Chakravarty,Jayanthi Sivaswamy	2013	18

About Arunava Chakravarty

Arunava Chakravarty is a scholar working on Acoustics and Ultrasonics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (13 papers), Retinal Diseases and Treatments (6 papers), Glaucoma and retinal disorders (6 papers), Digital Imaging for Blood Diseases (4 papers), Acute Ischemic Stroke Management (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Visual Attention and Saliency Detection (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Ophthalmology (330 citations), Radiology, Nuclear Medicine and Imaging (436 citations) and Computer Vision and Pattern Recognition (253 citations). Arunava Chakravarty has collaborated with scholars based in India, Netherlands and Austria. Frequent co-authors include Jayanthi Sivaswamy, Gopal Datt Joshi, Debdoot Sheet, S. R. Krishnadas, Ramanathan Sethuraman, Ursula Schmidt‐Erfurth, Bram van Ginneken, Clara I. Sá‎nchez, Thomas Theelen and Johan H. Mentink.

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