Harald Kittler
Overview
Explore the profile of Harald Kittler including associated specialties, affiliations and a list of published articles.
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Snapshot
Articles
164
Citations
2546
Followers
0
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Related Specialties
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Recent Articles
1.
Muller C, Tschandl P, Rinner C, Kyrgidis A, Koga H, Moscarella E, et al.
J Invest Dermatol
. 2025 Jan;
PMID: 39827926
No abstract available.
2.
Tognetti L, Cartocci A, Moscarella E, Lallas A, Dika E, Fargnoli M, et al.
Life (Basel)
. 2025 Jan;
14(12.
PMID: 39768415
"Harald Kittler" was not included as an author in the original publication [...].
3.
Kurtansky N, Primiero C, Betz-Stablein B, Combalia M, Guitera P, Halpern A, et al.
J Eur Acad Dermatol Venereol
. 2024 Dec;
PMID: 39648687
Background: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a...
4.
Wolber A, Jayasinghe D, Betz-Stablein B, Janda M, Soyer H, Kittler H
Br J Dermatol
. 2024 Nov;
PMID: 39586753
No abstract available.
5.
Kittler H
J Eur Acad Dermatol Venereol
. 2024 Nov;
38(12):2213-2214.
PMID: 39582461
No abstract available.
6.
Cartocci A, Luschi A, Tognetti L, Cinotti E, Farnetani F, Lallas A, et al.
Bioengineering (Basel)
. 2024 Oct;
11(10).
PMID: 39451411
Diagnosing atypical pigmented facial lesions (aPFLs) is a challenging topic for dermatologists. Accurate diagnosis of these lesions is crucial for effective patient management, especially in dermatology, where visual assessment plays...
7.
Muller C, Kittler H, Tschandl P, Rinner C, Grausenburger M, Kyrgidis A, et al.
Dermatology
. 2024 Oct;
240(5-6):793-802.
PMID: 39369689
Introduction: Diagnosis of acral melanocytic lesions can be challenging. The BRAAFF checklist was introduced as a tool to help differentiate between acral nevi and melanoma but has not been validated....
8.
Kurtansky N, DAlessandro B, Gillis M, Betz-Stablein B, Cerminara S, Garcia R, et al.
Sci Data
. 2024 Aug;
11(1):884.
PMID: 39143096
AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection...
9.
Lallas K, Spyridonos P, Kittler H, Tschandl P, Liopyris K, Argenziano G, et al.
Br J Dermatol
. 2024 Jul;
191(5):847-848.
PMID: 38992891
No abstract available.
10.