Titus J. Brinker - Concepedia

Author

Titus J. Brinker

Also Known As

Benjamin Waschki, Brinker, T., Brinker, Titus, Brinker, Titus J., Brinker, Titus Josef, D Deudjui, Netzwerk Aufklärung gegen Tabak, Nina Booken, T. Brinker, T. J. Brinker

233

Publications

8.7K

Citations

H-Index

Concepts

All Affiliations

Heidelberg University German Cancer Research Center National Center for Tumor Diseases University Hospital Heidelberg Essen University Hospital

About

Titus J. Brinker is an author at Heidelberg University specializing in medicine, pathology, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	14	16	1.2K
2	Engineering	12	12	744
3	Business	1	1	62
4	Health Sciences	1	1	168
5	Nursing	1	1	62

Titus J. Brinker

Publications

6.5K

Citations

H-Index

Page 1

	Year	Citations
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task Titus J. Brinker, Achim Hekler, Alexander Enk, European Journal of Cancer	2019	544
A single-cell landscape of high-grade serous ovarian cancer Benjamin Izar, Itay Tirosh, Elizabeth H. Stover, Nature Medicine Tumor HeterogeneityMedicineGynecologySingle-cell LandscapeOncology	2020	478
Deep neural networks are superior to dermatologists in melanoma image classification Titus J. Brinker, Achim Hekler, Alexander Enk, European Journal of Cancer	2019	386
Superior skin cancer classification by the combination of human and artificial intelligence Achim Hekler, Jochen Utikal, Alexander Enk, European Journal of Cancer	2019	349
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, European Journal of Cancer	2019	293
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images Achim Hekler, Jochen Utikal, Alexander Enk, European Journal of Cancer	2019	274
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts Sarah Haggenmüller, Roman C. Maron, Achim Hekler, European Journal of Cancer	2021	233
Pathologist-level classification of histopathological melanoma images with deep neural networks Achim Hekler, Jochen Utikal, Alexander Enk, European Journal of Cancer	2019	226
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks Roman C. Maron, Michael Weichenthal, Jochen Utikal, European Journal of Cancer	2019	211
Swarm learning for decentralized artificial intelligence in cancer histopathology Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, Nature Medicine	2022	197

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