Christine Park

Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations

Meenal K. Kheterpal, Ricardo Henao, M. Kheterpal, 2022, JID innovations : skin science from molecules to population health.

Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance

M. Mazurowski, R. Mather, W. Jiranek, 2022, 2203.08914.

Lesion identification and malignancy prediction from clinical dermatological images

Ricardo Henao, W. Ratliff, M. Kheterpal, 2022, Scientific Reports.

Current Landscape of Generative Adversarial Network for Facial De-Identification in Dermatology: A Systematic Review and Evaluation (Preprint)

M. Kheterpal, Ricardo Henao, Hyeon Ki Jeong, 2021, JMIR Dermatology.

Applicability of Facial De-Identification Methods for Privacy Protection in Dermatology: Systematic Review (Preprint)

H. Jeong, M. Kheterpal, Ricardo Henao, 2021 .

Malignancy Prediction and Lesion Identification from Clinical Dermatological Images pdf

Lawrence Carin, Ricardo Henao, William Ratliff, 2021, ArXiv.

Use of convolutional neural networks in skin lesion analysis using real world image and non-image data

Ricardo Henao, L. Carin, M. Sendak, 2022, Frontiers in Medicine.

Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach

Jikai Zhang, R. Colglazier, Carlos Santos, 2023, Journal of Imaging Informatics in Medicine.

Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care

S. Browd, D. Donoho, Christine Park, 2023, International Journal of Spine Surgery.