Nina Booken

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

Titus J. Brinker, Achim Hekler, Alexander Enk et al. · European Journal of Cancer · 2019 · 589 citations

Computing, Computer Science, Dermatology +16

A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

Titus J. Brinker, Achim Hekler, Alexander Enk et al. · European Journal of Cancer · 2019 · 299 citations · Full text

Medicine, Dermatology, Oncology +16

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al. · Nature Communications · 2024 · 151 citations · Full text

Medicine, Dermatology, Oncology +12

Sézary syndrome is a unique cutaneous T-cell lymphoma as identified by an expanded gene signature including diagnostic marker molecules CDO1 and DNM3

Nina Booken, Alexei Gratchev, Jochen Utikal et al. · Leukemia · 2007 · 108 citations

Medicine, Dermatology, Oncology +15

Evaluation of Immunophenotypic and Molecular Biomarkers for Sézary Syndrome Using Standard Operating Procedures: A Multicenter Study of 59 Patients

Stéphanie E. Boonk, Willem H. Zoutman, Anne Marie‐Cardine et al. · Journal of Investigative Dermatology · 2016 · 95 citations · Full text

Life Sciences, Immunology, Immunopathology +4