Ostmo, S., Lin, W.C., Coyner, A.S., Singh, P., Kalpathy-Cramer, J., Erdogmus, D., Chan, R.V.P., Chiang,
M.F. and Campbell, J.P., "Integrating Clinical, Imaging, and Genetic Data for Severe ROP Prediction."
Investigative Ophthalmology & Visual Science, 65(7), 4290-4290. (2024).
Young, B., Lin, W.C., Coyner, A.S., Ostmo, S.R., Singh, P., Kalpathy-Cramer, J., Erdogmus, D., Chan,
R.V.P., Chiang, M.F. and Campbell, J.P., "Deep Learning-Based Prediction of Genetic Risk in Retinopathy
of Prematurity Using Retinal Images". Investigative Ophthalmology & Visual Science, 65(7), pp.3764-3764.
(2024).
Chuter, B., Kinder, S., Huynh, J., Gonzalez, R., Iyengar, S., Xu, B., Zebardast, N., Eslami, M., Kazeminasab,
S., Elze, T., Christopher, M., Zangwill, M., Kalpathy-Cramer, J., Singh, P., & Baxter, S. "The Case for Federated
Learning: Challenges and Opportunities in Multi-Institutional Deep Learning Approaches for Ophthalmic
Imaging." Investigative Ophthalmology & Visual Science, 65(9), pp.PP007-PP007. (2024)
McNamara, S., Veturi, A., Kinder, S., Clark, C., Thakuria, U., Bearce, B., Kahook, M.Y., Mandava, N.,
Manoharan N., Singh, P., Kalpathy-Cramer, J., "EyeLiner: Longitudinal retinal fundus image alignment
through clinically guided keypoint detection." Clinical Translation of Medical Image Computing and Computer
Assisted Interventions. (2024).
Clark, C., Kinder, S., Ahmed, S.R., Nebbia, G., Veturi, A., Singh, P., Kalpathy-Cramer, J., "Making the
most of limited data with self-supervised learning for breast cancer screening." MICCAI 2024 2nd International
Workshop on Foundation Models for General Medical AI. (2024).
Nebbia, G., McNamara, S., Singh, P., Kalpathy-Cramer, J., "Comparing the Ability of CFP and OCT to
Predict Demographic Information." 10th MICCAI Workshop on Ophthalmic Medical Image Analysis. (2024).
Nebbia, G., McNamara, S., Singh, P., Kalpathy-Cramer, J., "Assessing the Ability of Foundational Models
to Re-identify Patients from Ophthalmic Images." 10th MICCAI Workshop on Ophthalmic Medical Image
Analysis. (2024).
Clark, C., Kinder, S., Egemen, D., Befano, B., Desai, K., Ahmed, S. R., Singh, P., ... & Kalpathy-Cramer, J.,
"Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening."
In International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (pp.
205-214). Cham: Springer Nature Switzerland. (2024).
Gupta, S., Chang, K., Qu, L., Rana, A., Ahmed, S. R., Aggarwal, M., ... & Singh, P., "Addressing Catastrophic
Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion". In
International Workshop on Personalized Incremental Learning in Medicine (pp. 57-72). Cham: Springer Nature
Switzerland. (2024).
Rathi, L., Nebbia, G., Chang, K., Kumar, S., Gupta, A., Ahmed, S. R., ... & Singh, P., "Cycle-GANs Generated
Difference Maps to Interpret Race Prediction from Medical Images". In MICCAI Workshop on Fairness of AI
in Medical Imaging (pp. 129-139). Cham: Springer Nature Switzerland.(2024).
Kumar, S., Hu, S.X., Coyner, A.S., Lin, W.C., Ostmo, S., Erdogmus, D., Chan, R.P., Chiang, M.F., Campbell,
J.P., Kalpathy-cramer, J, Hospedales, T., & Singh, P., "Monitoring disease progression with stable diffusion-a
visual approach". In Medical Imaging with Deep Learning.(2024).
Lin, W., Jordan, B.K., Scottoline, B., Ostmo, S., Coyner, A., Singh, P., Kalpathy-Cramer, J., Erdogmus, D.,
Chan, R.V.P., Chiang, M.F., Campbell J.P., "Oxygenation Fluctuations Associated with Severe Retinopathy
of Prematurity: Insights from A Multimodal Deep Learning Approach." Ophthalmology Science.(2024)
Kim, A. E., Lou, K. W., Giobbie-Hurder, A., Chang, K., Gidwani, M., Hoebel, K.,Patel, J.B., Cleveland, M.C.,
Singh, P., Bridge, C.P., Ahmed, S.R. ... & Gerstner, E. R, "Abnormal vascular structure and function within
brain metastases is linked to pembrolizumab resistance.", Neuro-oncology, 26(5), 965-974. (2024).
Pati, S., Kumar, S., Varma, A., Edwards, B., Lu, C., Qu, L., Wang, J.J., Lakshminarayanan, A., Wang,
S.H., Sheller, M.J., Chang, K., Singh, P., Rubin, D.L., Kalpathy-Cramer, J. & Bakas, S. 2024. "Privacy
preservation for federated learning in health care." Patterns, 5(7). (2024).
Hallaj, S., Chuter, B.G., Lieu, A.C., Singh, P., Kalpathy-Cramer, J., Xu, B.Y., Christopher, M., Zangwill,
L.M., Weinreb, R.N. and Baxter, S.L., "Federated Learning in Glaucoma: A Comprehensive Review and Future
Perspectives". Ophthalmology Glaucoma. (2024)
Singh, P., Kumar, S., Harel, I. D., Dollberg, D., Rachapudi, N., Laíns, I., Husain, D., Kalpathy-Cramer, J.,
"A Deep Learning based Automatic Drusen Segmentation Model for Age Related Macular Degeneration in
Ultra Wide-Field Imaging." Investigative Ophthalmology & Visual Science, 65(7), 2416-2416. (2024).
Kinder, S., McNamara, S., Clark, C., Veturi, A., Dietz, G., Carlo, T., Kahook, M.Y., Singh, P., Kalpathy-
Cramer, J., "AI-based Optic Disc and Cup Segmentation Can Provide Consistent Cup-Disc Ratio (CDR)
Measurements and Precise Progression Tracking." Investigative Ophthalmology & Visual Science, 65(7), 6189-
6189. (2024).
Kumar, S., Hu, S. X., Coyner A. S., Lin W. C., Ostmo, S., Erdogmus, D., Chan, R.V.P., Chiang, M.F.,
Campbell, J.P., Kalpathy-Cramer, J., Hospedales,T.M., Singh, P., "Monitoring Disease Progression with
Stable Diffusion in Retinopathy of Prematurity." Investigative Ophthalmology & Visual Science, 65(7), 5653-
5653. (2024).
Singh, P., Tyagi, R., Jordan, B.K., Scottoline, B., Ostmo, S., Coyner, A.S., Lin, W.C., Erdogmus, D.,
Chan, R.V.P., McEvoy, C. ,Chiang, M.F., Campbell, J.P., Kalpathy-Cramer, J., "Can the eye be a window to your body? AI predicts Neonatal
Pulmonary Hypertension through Retinal Fundus Photographs." Investigative Ophthalmology & Visual Science,
64(8), pp.1877-1877. (2023).
Tyagi, R., Campbell, J.P., Coyner, A.S., Ostmo, S., Lin, W.C., Erdogmus, D., Chan, R.V.P., Chiang, M.F.,
Kalpathy-Cramer, J. and Singh, P., "Investigating AI’s Unreasonable Effectiveness in Detecting Self-Declared
Racial Identity from Retinal Vascular Maps." Investigative Ophthalmology & Visual Science, 64(8), pp.273-273.
(2023).
Coyner, A.S., Lemay, A., Hoebel, K., Singh, P., Ostmo, S., Chiang, M.F., Kalpathy-Cramer, J. and Campbell,
J.P., "Monte Carlo dropout for increased deep learning repeatability and disease classification performance in
retinopathy of prematurity." Investigative Ophthalmology & Visual Science, 64(8), pp.5124-5124. (2023).
Kalpathy-Cramer, J., Alryalat, S.A., Clark, C., Singh, P., Bearce, B., Ittoop, S., Gomez, G.L., Seibold, L. and
Kahook, M., "Inter-rater variability in glaucoma diagnosis using optic nerve head photographs." Investigative
Ophthalmology & Visual Science, 64(8), pp.372-372. (2023).
Lin, W.C., Ostmo, S., Coyner, A.S., Singh, P., Kalpathy-Cramer, J., Erdogmus, D., Chan, R.V.P., Chiang,
M.F. and Campbell, J.P., "A Multimodal Deep Learning Approach Towards Predicting Severe Retinopathy of
Prematurity." Investigative Ophthalmology & Visual Science, 64(8), pp.4934-4934. (2023).
Hoebel, K.V., Lemay, A., Campbell, J.P., Ostmo, S., Chiang, M.F., Bridge, C.P., Li, M.D., Singh, P., Coyner,
A.S. and Kalpathy-Cramer, J., "A generalized framework to predict continuous scores from medical ordinal
labels." arXiv preprint arXiv:2305.19097. (2023).
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. 2023 Dec 9. [Epub ahead of print] PubMed PMID: 38070147
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. PubMed PMID: 37693537
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. PubMed PMID: 37662422
AlRyalat SA, Singh P, Kalpathy-Cramer J, Kahook MY. Artificial Intelligence and Glaucoma: Going Back to Basics. Clin Ophthalmol. 2023;17:1525-1530. PubMed PMID: 37284059
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 Jun 1;141(6):582-588. PubMed PMID: 37166816
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 Jun 1;141(6):543-552. PubMed PMID: 37140902
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 Aug;130(8):837-843. PubMed PMID: 37030453
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 Apr;43(4):e220107. PubMed PMID: 36862082
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 Apr;307(1):e220715. PubMed PMID: 36537895
Byun, Y., Garg, S., Mehta, S.V., Singh, P., Kalpathy-cramer, J., Wilder, B. and Lipton, Z.C., "Conditional
Diffusion Replay for Continual Learning in Medical Settings." ICML Workshop on Deployment Challenges for
Generative AI, (2023).
Patel, J., Ahmed, S. R., Chang, K., Singh, P., Gidwani, M., Hoebel, K., Kim, A., Bridge, C.P., Teng, C.J., Li, X., Xu, G., McDonald, M., Aizer, A., Bi,W.L., Ly, K.I., Rosen, B., Brastianos, P., Huang, R., Gerstner, E., Kalpathy-Cramer, J., "A Deep
Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic
Resonance Imaging." Machine Learning for Healthcare Conference (pp. 565-587). PMLR., (2023).
Lu, R.Y., McNamara, S., Singh, P., Kahook, M.Y., Mandava, N., Kalpathy-Cramer, J., "Fusing Vision and
Language: A Multimodal Deep Learning Framework to Predict Fundus Image Diagnosis & Eye Laterality from
Generated Free Text." Investigative Ophthalmology & Visual Science, 65(7), 5923-5923. (2024).