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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Praveer Singh and Jayashree Kalpathy-Cramer.

 
Connection Strength
  
 
 
6.697
  
  1. Singh P, Kumar S, Tyagi R, Young BK, Jordan BK, Scottoline B, Evers PD, Ostmo S, Coyner AS, Lin WC, Gupta A, Erdogmus D, Chan RVP, McCourt EA, Barry JS, McEvoy CT, Chiang MF, Campbell JP, Kalpathy-Cramer J. Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants. JAMA Ophthalmol. 2026 Mar 01; 144(3):230-237.
    View in: PubMed
    Score: 0.994
  2. Singh P, Kumar S, Tyagi R, Young BK, Jordan BK, Scottoline B, Evers PD, Ostmo S, Coyner AS, Lin WC, Gupta A, Erdogmus D, Chan RP, McCourt EA, Barry JS, McEvoy CT, Chiang MF, Campbell JP, Kalpathy-Cramer J. Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infants. medRxiv. 2025 Sep 19.
    View in: PubMed
    Score: 0.963
  3. Clark CW, Kinder S, Nebbia G, Veturi YA, McNamara S, Manoharan N, Forest T, Kahook M, Mandava N, Singh P, Kalpathy-Cramer J. Uncertainty-Aware Training for Ophthalmic Segmentation Using MedSAM. Transl Vis Sci Technol. 2026 Feb 02; 15(2):19.
    View in: PubMed
    Score: 0.247
  4. Bearce B, McNamara S, Kinder S, Manoharan N, Lisker A, Arguinchona L, Marks B, Roseto I, Barrientos L, Milner D, Gnanaraj R, Gill Z, Tukel M, Abe-Ridgway K, Mandava N, Singh P, Nebbia G, Kalpathy-Cramer J. Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus Autofluorescence. Transl Vis Sci Technol. 2026 Jan 05; 15(1):12.
    View in: PubMed
    Score: 0.246
  5. Beckwith AD, McNamara SM, Veturi YA, Manoharan N, de Carlo Forest TE, Kinder S, Bearce B, Gnanaraj R, Lynch A, Singh P, Nebbia G, Mandava N, Kalpathy-Cramer J. Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz model. medRxiv. 2025 Oct 05.
    View in: PubMed
    Score: 0.242
  6. Nebbia G, Kumar S, McNamara SM, Bridge C, Campbell JP, Chiang MF, Mandava N, Singh P, Kalpathy-Cramer J. Re-identification of patients from imaging features extracted by foundation models. NPJ Digit Med. 2025 Jul 22; 8(1):469.
    View in: PubMed
    Score: 0.238
  7. Kinder S, McNamara S, Clark C, Bearce B, Thakuria U, Veturi YA, Deitz G, de Carlo Forest TE, Mandava N, Kahook MY, Singh P, Kalpathy-Cramer J. Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography Measurements. Transl Vis Sci Technol. 2025 Jun 02; 14(6):30.
    View in: PubMed
    Score: 0.236
  8. Veturi YA, McNamara S, Kinder S, Clark CW, Thakuria U, Bearce B, Manoharan N, Mandava N, Kahook MY, Singh P, Kalpathy-Cramer J. EyeLiner: A Deep Learning Pipeline for Longitudinal Image Registration Using Fundus Landmarks. Ophthalmol Sci. 2025 Mar-Apr; 5(2):100664.
    View in: PubMed
    Score: 0.228
  9. Gupta S, Kumar S, Chang K, Lu C, Singh P, Kalpathy-Cramer J. Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics. 2023 04; 43(4):e220107.
    View in: PubMed
    Score: 0.203
  10. Gidwani M, Chang K, Patel JB, Hoebel KV, Ahmed SR, Singh P, Fuller CD, Kalpathy-Cramer J. Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology. 2023 04; 307(1):e220715.
    View in: PubMed
    Score: 0.199
  11. Kumar S, Lakshminarayanan A, Chang K, Guretno F, Mien IH, Kalpathy-Cramer J, Krishnaswamy P, Singh P. Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. Distrib Collab Fed Learn Afford AI Healthc Resour Div Glob Health (2022). 2022 Sep; 13573:119-129.
    View in: PubMed
    Score: 0.196
  12. Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, Kalpathy-Cramer J. Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine (Baltimore). 2022 Jul 22; 101(29):e29587.
    View in: PubMed
    Score: 0.193
  13. Arun N, Gaw N, Singh P, Chang K, Aggarwal M, Chen B, Hoebel K, Gupta S, Patel J, Gidwani M, Adebayo J, Li MD, Kalpathy-Cramer J. Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiol Artif Intell. 2021 Nov; 3(6):e200267.
    View in: PubMed
    Score: 0.183
  14. Campbell JP, Singh P, Redd TK, Brown JM, Shah PK, Subramanian P, Rajan R, Valikodath N, Cole E, Ostmo S, Chan RVP, Venkatapathy N, Chiang MF, Kalpathy-Cramer J. Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics. 2021 03; 147(3).
    View in: PubMed
    Score: 0.176
  15. Hoebel KV, Patel JB, Beers AL, Chang K, Singh P, Brown JM, Pinho MC, Batchelor TT, Gerstner ER, Rosen BR, Kalpathy-Cramer J. Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma. Radiol Artif Intell. 2021 Jan; 3(1):e190199.
    View in: PubMed
    Score: 0.173
  16. Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, Kalpathy-Cramer J. Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19. medRxiv. 2020 Sep 18.
    View in: PubMed
    Score: 0.170
  17. Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiol Artif Intell. 2020 Jul; 2(4):e200079.
    View in: PubMed
    Score: 0.168
  18. Chang K, Beers AL, Brink L, Patel JB, Singh P, Arun NT, Hoebel KV, Gaw N, Shah M, Pisano ED, Tilkin M, Coombs LP, Dreyer KJ, Allen B, Agarwal S, Kalpathy-Cramer J. Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density. J Am Coll Radiol. 2020 Dec; 17(12):1653-1662.
    View in: PubMed
    Score: 0.168
  19. Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks. medRxiv. 2020 May 26.
    View in: PubMed
    Score: 0.167
  20. Li MD, Chang K, Bearce B, Chang CY, Huang AJ, Campbell JP, Brown JM, Singh P, Hoebel KV, Erdogmus D, Ioannidis S, Palmer WE, Chiang MF, Kalpathy-Cramer J. Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. NPJ Digit Med. 2020; 3:48.
    View in: PubMed
    Score: 0.165
  21. Hallaj S, Chuter BG, Lieu AC, Singh P, Kalpathy-Cramer J, Xu BY, Christopher M, Zangwill LM, Weinreb RN, Baxter SL. Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives. Ophthalmol Glaucoma. 2025 Jan-Feb; 8(1):92-105.
    View in: PubMed
    Score: 0.056
  22. Pati S, Kumar S, Varma A, Edwards B, Lu C, Qu L, Wang JJ, Lakshminarayanan A, Wang SH, Sheller MJ, Chang K, Singh P, Rubin DL, Kalpathy-Cramer J, Bakas S. Privacy preservation for federated learning in health care. Patterns (N Y). 2024 Jul 12; 5(7):100974.
    View in: PubMed
    Score: 0.055
  23. Kim AE, Lou KW, Giobbie-Hurder A, Chang K, Gidwani M, Hoebel K, Patel JB, Cleveland MC, Singh P, Bridge CP, Ahmed SR, Bearce BA, Liu W, Fuster-Garcia E, Lee EQ, Lin NU, Overmoyer B, Wen PY, Nayak L, Cohen JV, Dietrich J, Eichler A, Heist R, Krop I, Lawrence D, Ligibel J, Tolaney S, Mayer E, Winer E, Perrino CM, Summers EJ, Mahar M, Oh K, Shih HA, Cahill DP, Rosen BR, Yen YF, Kalpathy-Cramer J, Martinez-Lage M, Sullivan RJ, Brastianos PK, Emblem KE, Gerstner ER. Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance. Neuro Oncol. 2024 05 03; 26(5):965-974.
    View in: PubMed
    Score: 0.055
  24. Coyner AS, Murickan T, Oh MA, Young BK, Ostmo SR, Singh P, Chan RVP, Moshfeghi DM, Shah PK, Venkatapathy N, Chiang MF, Kalpathy-Cramer J, Campbell JP. Multinational External Validation of Autonomous Retinopathy of Prematurity Screening. JAMA Ophthalmol. 2024 Apr 01; 142(4):327-335.
    View in: PubMed
    Score: 0.054
  25. Lin WC, Jordan BK, Scottoline B, Ostmo SR, Coyner AS, Singh P, Kalpathy-Cramer J, Erdogmus D, Chan RVP, Chiang MF, Campbell JP. Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning Approach. Ophthalmol Sci. 2024 Mar-Apr; 4(2):100417.
    View in: PubMed
    Score: 0.053
  26. Kim AE, Lou KW, Giobbie-Hurder A, Chang K, Gidwani M, Hoebel K, Patel JB, Cleveland MC, Singh P, Bridge CP, Ahmed SR, Bearce BA, Liu W, Fuster-Garcia E, Lee EQ, Lin NU, Overmoyer B, Wen PY, Nayak L, Cohen JV, Dietrich J, Eichler A, Heist R, Krop I, Lawrence D, Ligibel J, Tolaney S, Mayer E, Winer E, Perrino CM, Summers EJ, Mahar M, Oh K, Shih HA, Cahill DP, Rosen BR, Yen YF, Kalpathy-Cramer J, Martinez-Lage M, Sullivan RJ, Brastianos PK, Emblem KE, Gerstner ER. Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy. bioRxiv. 2023 Aug 28.
    View in: PubMed
    Score: 0.052
  27. Bhandari SM, Singh P, Arun N, Sekimitsu S, Raghu V, Rauscher FG, Elze T, Horn K, Kirsten T, Scholz M, Segrè AV, Wiggs JL, Kalpathy-Cramer J, Zebardast N. Automated detection of genetic relatedness from fundus photographs using Siamese Neural Networks. medRxiv. 2023 Aug 23.
    View in: PubMed
    Score: 0.052
  28. Coyner AS, Singh P, Brown JM, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images. JAMA Ophthalmol. 2023 06 01; 141(6):543-552.
    View in: PubMed
    Score: 0.051
  29. Young BK, Cole ED, Shah PK, Ostmo S, Subramaniam P, Venkatapathy N, Tsai ASH, Coyner AS, Gupta A, Singh P, Chiang MF, Kalpathy-Cramer J, Chan RVP, Campbell JP. Efficacy of Smartphone-Based Telescreening for Retinopathy of Prematurity With and Without Artificial Intelligence in India. JAMA Ophthalmol. 2023 06 01; 141(6):582-588.
    View in: PubMed
    Score: 0.051
  30. AlRyalat SA, Singh P, Kalpathy-Cramer J, Kahook MY. Artificial Intelligence and Glaucoma: Going Back to Basics. Clin Ophthalmol. 2023; 17:1525-1530.
    View in: PubMed
    Score: 0.051
  31. deCampos-Stairiker MA, Coyner AS, Gupta A, Oh M, Shah PK, Subramanian P, Venkatapathy N, Singh P, Kalpathy-Cramer J, Chiang MF, Chan RVP, Campbell JP. Epidemiologic Evaluation of Retinopathy of Prematurity Severity in a Large Telemedicine Program in India Using Artificial Intelligence. Ophthalmology. 2023 08; 130(8):837-843.
    View in: PubMed
    Score: 0.051
  32. Zhang M, Qu L, Singh P, Kalpathy-Cramer J, Rubin DL. SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging. IEEE J Biomed Health Inform. 2022 09; 26(9):4635-4644.
    View in: PubMed
    Score: 0.049
  33. Coyner AS, Oh MA, Shah PK, Singh P, Ostmo S, Valikodath NG, Cole E, Al-Khaled T, Bajimaya S, K C S, Chuluunbat T, Munkhuu B, Subramanian P, Venkatapathy N, Jonas KE, Hallak JA, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations. JAMA Ophthalmol. 2022 08 01; 140(8):791-798.
    View in: PubMed
    Score: 0.048
  34. Mehta R, Filos A, Baid U, Sako C, McKinley R, Rebsamen M, Dätwyler K, Meier R, Radojewski P, Murugesan GK, Nalawade S, Ganesh C, Wagner B, Yu FF, Fei B, Madhuranthakam AJ, Maldjian JA, Daza L, Gómez C, Arbeláez P, Dai C, Wang S, Reynaud H, Mo Y, Angelini E, Guo Y, Bai W, Banerjee S, Pei L, Ak M, Rosas-González S, Zemmoura I, Tauber C, Vu MH, Nyholm T, Löfstedt T, Ballestar LM, Vilaplana V, McHugh H, Maso Talou G, Wang A, Patel J, Chang K, Hoebel K, Gidwani M, Arun N, Gupta S, Aggarwal M, Singh P, Gerstner ER, Kalpathy-Cramer J, Boutry N, Huard A, Vidyaratne L, Rahman MM, Iftekharuddin KM, Chazalon J, Puybareau E, Tochon G, Ma J, Cabezas M, Llado X, Oliver A, Valencia L, Valverde S, Amian M, Soltaninejad M, Myronenko A, Hatamizadeh A, Feng X, Dou Q, Tustison N, Meyer C, Shah NA, Talbar S, Weber MA, Mahajan A, Jakab A, Wiest R, Fathallah-Shaykh HM, Nazeri A, Milchenko M, Marcus D, Kotrotsou A, Colen R, Freymann J, Kirby J, Davatzikos C, Menze B, Bakas S, Gal Y, Arbel T. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. J Mach Learn Biomed Imaging. 2022 Aug; 2022.
    View in: PubMed
    Score: 0.048
  35. Cole E, Valikodath NG, Al-Khaled T, Bajimaya S, Kc S, Chuluunbat T, Munkhuu B, Jonas KE, Chuluunkhuu C, MacKeen LD, Yap V, Hallak J, Ostmo S, Wu WC, Coyner AS, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP, Chan RVP. Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia. Ophthalmol Sci. 2022 Dec; 2(4):100165.
    View in: PubMed
    Score: 0.048
  36. Hanif A, Lu C, Chang K, Singh P, Coyner AS, Brown JM, Ostmo S, Chan RVP, Rubin D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology. Ophthalmol Retina. 2022 08; 6(8):650-656.
    View in: PubMed
    Score: 0.047
  37. Lu C, Hanif A, Singh P, Chang K, Coyner AS, Brown JM, Ostmo S, Chan RVP, Rubin D, Chiang MF, Campbell JP, Kalpathy-Cramer J. Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity. Ophthalmol Retina. 2022 08; 6(8):657-663.
    View in: PubMed
    Score: 0.047
  38. Campbell JP, Chiang MF, Chen JS, Moshfeghi DM, Nudleman E, Ruambivoonsuk P, Cherwek H, Cheung CY, Singh P, Kalpathy-Cramer J, Ostmo S, Eydelman M, Chan RVP, Capone A. Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis. Ophthalmology. 2022 07; 129(7):e69-e76.
    View in: PubMed
    Score: 0.047
  39. Coyner AS, Chen JS, Chang K, Singh P, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP. Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis. Ophthalmol Sci. 2022 Jun; 2(2):100126.
    View in: PubMed
    Score: 0.047
  40. Coyner AS, Chen JS, Singh P, Schelonka RL, Jordan BK, McEvoy CT, Anderson JE, Chan RVP, Sonmez K, Erdogmus D, Chiang MF, Kalpathy-Cramer J, Campbell JP. Single-Examination Risk Prediction of Severe Retinopathy of Prematurity. Pediatrics. 2021 12 01; 148(6).
    View in: PubMed
    Score: 0.046
  41. Chen JS, Anderson JE, Coyner AS, Ostmo S, Sonmez K, Erdogmus D, Jordan BK, McEvoy CT, Dukhovny D, Schelonka RL, Paul Chan RV, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment. Ophthalmol Sci. 2021 Dec; 1(4):100070.
    View in: PubMed
    Score: 0.046
  42. Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmol Retina. 2021 10; 5(10):1027-1035.
    View in: PubMed
    Score: 0.044
  43. Coyner AS, Chen J, Campbell JP, Ostmo S, Singh P, Kalpathy-Cramer J, Chiang MF. Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. AMIA Annu Symp Proc. 2020; 2020:329-337.
    View in: PubMed
    Score: 0.044
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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