A. Halpern

The degradation of performance of a state-of-the-art skin image classifier when applied to patient-driven internet search

S. Han, J. Na, Seong Hwan Kim, 2022, Scientific Reports.

Utility of the Wood's light: five cases from a pigmented lesion clinic

A. Marghoob, Lilly-Rose Paraskevas, A. Halpern, 2005, The British journal of dermatology.

Melanocytic naevi with globular and reticular dermoscopic patterns display distinct BRAF V600E expression profiles and histopathological patterns

A. Halpern, M. Marchetti, A. Scope, 2014, The British journal of dermatology.

Store‐and‐forward mobile application as an accessible method of study participant assessment

V. Rotemberg, M. Sun, A. Halpern, 2022, Journal of the European Academy of Dermatology and Venereology : JEADV.

The long‐term evolution of melanocytic nevi among high‐risk adults

M. Marchetti, A. Scope, V. Rotemberg, 2022, Journal of the European Academy of Dermatology and Venereology : JEADV.

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images

John R. Smith, Junjie Cai, Rahil Garnavi, 2015, MLMI.

Digital skin imaging applications, part I: Assessment of image acquisition technique features

A. Halpern, V. Rotemberg, C. Curiel-Lewandrowski, 2022, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Confocal mosaicing microscopy in skin excisions: a demonstration of rapid surgical pathology

Yogesh G. Patel, M Rajadhyaksha, Y. Li, 2009, Journal of microscopy.

Dermoscopic patterns and subclinical melanocytic nests in normal‐appearing skin

M. Weinstock, A. Scope, J. Lieb, 2009, The British journal of dermatology.

Accuracy of commercially available smartphone applications for the detection of melanoma

V. Rotemberg, J. Kentley, M. Sun, 2021, The British journal of dermatology.

3D Whole‐body skin imaging for automated melanoma detection

M. Marchetti, V. Rotemberg, J. Defazio, 2023, Journal of the European Academy of Dermatology and Venereology.

Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)

M. Marchetti, V. Rotemberg, S. Dusza, 2023, NPJ digital medicine.

Vitamin D: a clinical perspective

A. Halpern, A. Halpern, 2013, Pigment cell & melanoma research.

Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study

A. Marghoob, R. Braun, V. Rotemberg, 2023, JMIR medical informatics.

The use of whole body photography in a pigmented lesion clinic.

A. Halpern, A C Halpern, A. Halpern, 2000, Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.].

Accuracy of tele‐consultation on management decisions of lesions suspect for melanoma using reflectance confocal microscopy as a stand‐alone diagnostic tool

A. Halpern, M. Marchetti, A. Scope, 2018, Journal of the European Academy of Dermatology and Venereology : JEADV.

Classification of dermoscopy patterns using deep convolutional neural networks

Rahil Garnavi, Mani Abedini, Alan Halpern, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).