Titus J. Brinker
German Cancer Research Center(DE)Heidelberg University(DE)
Publications by Year
Research Areas
AI in cancer detection, Cutaneous Melanoma Detection and Management, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Smoking Behavior and Cessation
Most-Cited Works
- → Deep learning in cancer pathology: a new generation of clinical biomarkers(2020)610 cited
- → Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task(2019)556 cited
- → A single-cell landscape of high-grade serous ovarian cancer(2020)506 cited
- → Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review(2018)473 cited
- → Deep neural networks are superior to dermatologists in melanoma image classification(2019)392 cited
- → Superior skin cancer classification by the combination of human and artificial intelligence(2019)349 cited
- → A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task(2019)295 cited
- → Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images(2019)275 cited
- → Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts(2021)238 cited
- → Pathologist-level classification of histopathological melanoma images with deep neural networks(2019)226 cited