Harald Kittler

Statistics and Probability · 2001–2020

A researcher in the Science corpus: 10 papers; trusts 1 researcher and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 8 citations into it

Whom Harald Kittler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. Stone

Who trusts Harald Kittler overall

1. Noel C. F. Codella
2. Jiancheng Yang
3. Lucy R. Chai
4. Hasib Zunair
5. Nabila Abraham
6. Nabil Ibtehaz
7. Neel Guha
8. David Gutman
9. Yunhui Guo
10. Yutong Xie

Papers from Harald Kittler's perspective

Ordered by how strongly the researchers Harald Kittler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. (Journal of American Academy of Dermatology)
3. Deep learning ensembles for melanoma recognition in dermoscopy images
4. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. (Journal of Investigative Dermatology)
5. Human–computer collaboration for skin cancer recognition (Nature Medicine)
6. Melanoma: epidemiology, risk factors, pathogenesis, diagnosis and classification. (In Vivo)
7. Prevalence and Costs of Skin Cancer Treatment in the U.S., 2002–2006 and 2007–2011 (American Journal of Preventive Medicine)
8. Dermatologist-level classification of skin cancer with deep neural networks
9. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study (The Lancet Oncology)
10. Cross‐Validatory Choice and Assessment of Statistical Predictions

Their papers

• Human–computer collaboration for skin cancer recognition (2020) — 912 citations
• A patient-centric dataset of images and metadata for identifying melanomas using clinical context (2020) — 562 citations
• Diagnostic accuracy of dermoscopy. (2002) — 1,290 citations
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) (2019) — 1,802 citations
• Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study (2019) — 455 citations
• Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks (2019) — 303 citations
• Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions (2018) — 3,654 citations
• Clinical improvement in psoriasis with specific targeting of interleukin-23 (2015) — 214 citations
• Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. (2003) — 1,204 citations
• Automated Melanoma Recognition (2001) — 404 citations