يعرض 1 - 10 نتائج من 14 نتيجة بحث عن '"Timo Buhl"', وقت الاستعلام: 0.85s تنقيح النتائج
  1. 1
    Does sex matter? Analysis of sex-related differences in the diagnostic performance of a market-approved convolutional neural network for skin cancer detection

    المؤلفون: Katharina Sies, Julia K. Winkler, Christine Fink, Felicitas Bardehle, Ferdinand Toberer, Timo Buhl, Alexander Enk, Andreas Blum, Wilhelm Stolz, Albert Rosenberger, Holger A. Haenssle

    المصدر: European Journal of Cancer. 164:88-94

    مصطلحات موضوعية: Male, Cancer Research, Skin Neoplasms, Oncology, Artificial Intelligence, Humans, Dermoscopy, Female, Neural Networks, Computer, Melanoma

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdd14dc2978c308f4be56f82e3455755Test
    https://doi.org/10.1016/j.ejca.2021.12.034Test


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  2. 2
    Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions

    المؤلفون: Alexander Enk, Holger A. Haenssle, Katharina Sies, Felicitas Bardehle, Julia K. Winkler, Ferdinand Toberer, Christine Fink, Albert Rosenberger, Andreas Blum, Timo Buhl

    المصدر: European journal of cancer (Oxford, England : 1990). 135

    مصطلحات موضوعية: 0301 basic medicine, Adult, Male, Cancer Research, medicine.medical_specialty, Skin Neoplasms, Adolescent, Databases, Factual, Analyser, Prospective data, Dermoscopy, Convolutional neural network, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Deep Learning, Predictive Value of Tests, Image Interpretation, Computer-Assisted, Medicine, Humans, Diagnosis, Computer-Assisted, Prospective Studies, Medical diagnosis, Melanoma, Aged, Aged, 80 and over, Receiver operating characteristic, business.industry, Reproducibility of Results, Mean age, Middle Aged, Prognosis, Confidence interval, 030104 developmental biology, Cross-Sectional Studies, Oncology, 030220 oncology & carcinogenesis, Female, Radiology, business, Skin lesion

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaee05d93a3e17d21979d2e95284504bTest
    https://pubmed.ncbi.nlm.nih.gov/32534243Test


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  3. 3
    Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions

    المؤلفون: Fabrice Ribeaudeau, Alexander Wald, Timo Buhl, Maria-Letizia Cappelletti, Franziska Hartmann, Philipp Marcel Buck, Rainer Hofmann-Wellenhof, Christina Mitteldorf, Julie Gachon-Buffet, Eva Hulstaert, Jean Paroissien, Isabelle Hoorens, Albert Rosenberger, Diana Plise, M. Zutt, Holger A. Haenssle, Elke Sattler, Roland Schneiderbauer, Marie Bachelerie, Andreas Blum, Daphnée Dumon, Yvonne Beckenbauer, Kristina Buder-Bakhaya, Isabelle Tromme, Aimilios Lallas, Luc Thomas, Mohamed Souhayel Abassi, A. Lallas, Christine Fink, Steffen Emmert, Michèle Dobler, Marine Marc, Mikhail Gusarov, Karen Talour, A. Blum, Wilhelm Stolz, S. Emmert, Pauline Richez, Annabelle Levy-Roy, Pascale Zukervar, Hélène Roche Plaine, Raimonds Karls, Camille Picard, Julie De Labarthe, Valérie Reymann, Ines Bertlich, Cécile Chabbert, Alexander Enk, Priscila Wölbing, Christian Kromer, Deborah Salik, Sophie Brassat, Eveline DeCoster, Marie-France Bouthenet, Céline Le Blanc Vasseux, T. Deinlein, Julia Hartmann, Teresa Deinlein, Sophie Baricault, Anke Herrmann, Thierry Secchi, Sonali Bajaj, Philipp Tschandl, Sarah Schäfer, Pawel Majenka, Veronique Martin Bourret, Julia K. Winkler, Lukas Trennheuser, Clément Barthaux, Christina Alt, Nadège Michelet-Brunacci, Andreea Kolonte, Alise Balcere, Ferdinand Toberer

    المساهمون: UCL - SSS/IRSS - Institut de recherche santé et société, UCL - (SLuc) Service de dermatologie

    المصدر: Annals of oncology, Vol. 31, no.1, p. 137-143 (2020)

    مصطلحات موضوعية: 0301 basic medicine, Male, medicine.medical_specialty, Skin Neoplasms, Dermoscopy, Convolutional neural network, 03 medical and health sciences, Broad spectrum, 0302 clinical medicine, Germany, Skin cancer, European market, Medicine, Humans, Medical diagnosis, Melanoma, Receiver operating characteristic, business.industry, Deep learning, Hematology, medicine.disease, Dermatology, Neural network, Confidence interval, Moleanalyzer Pro, 3. Good health, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Neural Networks, Computer, business, Skin lesion, Dermatologists

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3766ee2c18d4c3e6558fff2017357cTest
    https://pubmed.ncbi.nlm.nih.gov/31912788Test


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  4. 4
    Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas

    المؤلفون: Alexander Enk, Timo Buhl, Ferdinand Toberer, Holger A. Haenssle, Rainer Hofmann-Wellenhof, Christina Mitteldorf, Christiane S Cussigh, Albert Rosenberger, Teresa Deinlein, Andreas Blum, Julia K. Winkler, Wilhelm Stolz, David Deltgen, Christine Fink, Lukas Trennheuser

    المصدر: Journal of the European Academy of Dermatology and Venereology : JEADVReferences. 34(6)

    مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Skin Neoplasms, Dermoscopy, Dermatology, Convolutional neural network, Sensitivity and Specificity, Breslow Thickness, 030207 dermatology & venereal diseases, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Primary outcome, Deep Learning, medicine, European market, Humans, Diagnosis, Computer-Assisted, Melanoma diagnosis, Melanoma, Aged, Nevus, Pigmented, business.industry, Deep learning, Middle Aged, medicine.disease, 3. Good health, Infectious Diseases, 030220 oncology & carcinogenesis, Diagnostic odds ratio, Melanocytes, Female, Artificial intelligence, Clinical Competence, business, Dermatologists

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16db9a20b8e43fb27aedd2206e066939Test
    https://pubmed.ncbi.nlm.nih.gov/31856342Test


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  5. 5
    Man against Machine: Diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

    المؤلفون: Franziska Hartmann, Ahmed Sadek, Susanne Hanner, Lyobomira Vlahova, Andreas Blum, Christina Alt, Christian Fink, Roland Schneiderbauer, Volker Meyer, Luc Thomas, Adriana Rendon, F. Toberer, Priscila Wölbing, Julia K. Winkler, Ferdinand Toberer, Renato Marchiori Bakos, A. Blum, Lara-Elena Hakim-Meibodi, Anna Neuberger, Naciye Cevic, Julia Hartmann, Barbar Rao, Aimilios Lallas, Iris Zalaudek, Cesare Massone, Margaret Oliviero, John Paoli, Ash Marghoob, Therezia Bokor-Billmann, Lorenz Uhlmann, Raimonds Karls, Timo Buhl, Holger A. Haenssle, Anne Baltzer, Ralph P. Braun, A. Ben Hadj Hassen, Hiroshi Koga, Alexander Enk, Alexander Wald, Anna Classen, Horacio Cabo, Ivelina Georgieva, T. Buhl, Naira Braghiroli, Pawel Majenka, Jürgen Kreusch, Ines Bertlich, Kari Nielsen, Leo Cabrijan, Anissa Schweizer, Riccardo Pampena, Dominik Mestel, Lali Mekokishvili, Lukas Trennheuser, Aadi Kalloo, R. Schneiderbauer, Georg Haus, Monika Arenbergerova, Christine Fink, Kinga Samhaber, Kristina Buder-Bakhaya, Erika Pawlik, Teresa Russo, Elti Hoxha, David Deltgen, Jonathan Bowling

    المساهمون: Haenssle, H. A., Fink, C., Schneiderbauer, R., Toberer, F., Buhl, T., Blum, A., Kalloo, A., Ben Hadj Hassen, A., Thomas, L., Enk, A., Uhlmann, L., Alt, C., Arenbergerova, M., Bakos, R., Baltzer, A., Bertlich, I., Bokor-Billmann, T., Bowling, J., Braghiroli, N., Braun, R., Buder-Bakhaya, K., Cabo, H., Cabrijan, L., Cevic, N., Classen, A., Deltgen, D., Georgieva, I., Hakim-Meibodi, L. -E., Hanner, S., Hartmann, F., Hartmann, J., Haus, G., Hoxha, E., Karls, R., Koga, H., Kreusch, J., Lallas, A., Majenka, P., Marghoob, A., Massone, C., Mekokishvili, L., Mestel, D., Meyer, V., Neuberger, A., Nielsen, K., Oliviero, M., Pampena, R., Paoli, J., Pawlik, Erika., Rao, B., Rendon, A., Russo, T., Sadek, A., Samhaber, K., Schweizer, A., Trennheuser, L., Vlahova, L., Wald, A., Winkler, J., Wolbing, P., Zalaudek, I.

    مصطلحات موضوعية: medicine.medical_specialty, Skin Neoplasms, Image Processing, International Cooperation, Dermoscopy, Convolutional neural network, Automated melanoma detection, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Trial number, Computer-Assisted, Deep Learning, Retrospective Studie, Image Processing, Computer-Assisted, Medical imaging, Medicine, Humans, Skin Neoplasm, Medical diagnosis, Melanoma, Retrospective Studies, Skin, Cross-Sectional Studie, Computer algorithm, Receiver operating characteristic, business.industry, Deep learning, Outcome measures, Deep learning convolutional neural network, Melanocytic nevi, Clinical Competence, Cross-Sectional Studies, Dermatologists, ROC Curve, Hematology, Dermatology, Diagnostic classification, 3. Good health, Oncology, 030220 oncology & carcinogenesis, Artificial intelligence, Dermatologist, business, Human

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eb508eec67280cc45677a628e9698ceTest
    http://hdl.handle.net/11368/2966390Test


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  6. 6
    Assessment of melanoma histotypes and associated patient related factors: Basis for a predictive statistical model

    المؤلفون: Timo Buhl, Hans Peter Bertsch, Steffen Emmert, Albert Rosenberger, Michael P. Schön, Holger A. Haenssle, Saskia Hoffmann

    المصدر: JDDG: Journal der Deutschen Dermatologischen Gesellschaft. 13:37-44

    مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Skin Neoplasms, Multinomial logistic model, Dermoscopy, Dermatology, Lentigo maligna, Single Center, Risk Assessment, Sensitivity and Specificity, Young Adult, Age Distribution, Germany, Prevalence, Humans, Medicine, Computer Simulation, Neoplasm Invasiveness, Sex Distribution, Young adult, Head and neck, Melanoma, Aged, Retrospective Studies, Related factors, Models, Statistical, business.industry, Reproducibility of Results, Retrospective cohort study, Middle Aged, Prognosis, medicine.disease, 3. Good health, Data Interpretation, Statistical, Female, business, Algorithms

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05fc6f8c0e379458cd7a2cc856c94412Test
    https://doi.org/10.1111/ddg.12561Test


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  7. 7
    Melanoma thickness: the role of patients’ characteristics, risk indicators and patterns of diagnosis

    المؤلفون: Timo Buhl, Kinga T. Samhaber, M. Fliesser, Saskia Hoffmann, Margarete Schön, Albert Rosenberger, R. Holzkamp, Holger A. Haenssle, Anike Lockmann, Steffen Emmert

    المصدر: Journal of the European Academy of Dermatology and Venereology. 29:102-108

    مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Skin Neoplasms, Multivariate analysis, Adolescent, Dermoscopy, Dermatology, Breslow Thickness, Young Adult, 030207 dermatology & venereal diseases, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Surveys and Questionnaires, medicine, Humans, Young adult, Lentigo maligna melanoma, Melanoma, Early Detection of Cancer, Aged, Aged, 80 and over, Univariate analysis, business.industry, Age Factors, Middle Aged, 16. Peace & justice, medicine.disease, Surgery, Infectious Diseases, 030220 oncology & carcinogenesis, Cutaneous melanoma, Female, Observational study, business

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbb20dc2dbdae3d4e7239d878a3befa5Test
    https://doi.org/10.1111/jdv.12471Test


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  8. 8
    Integrating static and dynamic features of melanoma: The DynaMel algorithm

    المؤلفون: Steffen Emmert, Christian Hansen-Hagge, Timo Buhl, Ellen R. M. de Haas, Albert Rosenberger, Bianca Korpas, Kjell M. Kaune, Michael P. Schön, Holger A. Haenssle

    المصدر: Journal of the American Academy of Dermatology. 66:27-36

    مصطلحات موضوعية: Adult, Male, Skin Neoplasms, Adolescent, Biopsy, Dermoscopy, Dermatology, Logistic regression, Young Adult, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Child, Prospective cohort study, Melanoma, Aged, Skin, Aged, 80 and over, Dermatoscopy, medicine.diagnostic_test, Receiver operating characteristic, business.industry, Odds ratio, Middle Aged, medicine.disease, Confidence interval, Checklist, ROC Curve, Area Under Curve, Child, Preschool, 030220 oncology & carcinogenesis, Female, sense organs, business, Algorithm, Algorithms

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14735811b7c8eb0ad6e1c4ea4d79e9c7Test
    https://doi.org/10.1016/j.jaad.2010.09.731Test


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  9. 9
    Squamomelanocytic Tumor of the Nail Unit Metastasizing to a Sentinel Lymph Node: A Dermoscopic and Histologic Investigation

    المؤلفون: Timo Buhl, Holger A. Haenssle, Hans Peter Bertsch, Ricarda Holzkamp, Michael P. Schön, Lutz Kretschmer

    المصدر: Dermatology. 225:127-130

    مصطلحات موضوعية: medicine.medical_specialty, business.industry, Melanoma, Sentinel lymph node, Dermatology, medicine.disease, 030207 dermatology & venereal diseases, 03 medical and health sciences, Squamomelanocytic tumor, Nail unit, Collision tumor, Squamous cell carcinoma, Dermoscopy, 0302 clinical medicine, medicine.anatomical_structure, 030220 oncology & carcinogenesis, medicine, Nail (anatomy), business

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba325c41cf983347afc7586c8d1427c8Test
    https://doi.org/10.1159/000342181Test


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  10. 10
    Seven-point checklist for dermatoscopy: Performance during 10 years of prospective surveillance of patients at increased melanoma risk

    المؤلفون: Holger A. Haenssle, Steffen Emmert, Christian Hansen-Hagge, Michael P. Schön, Kjell M. Kaune, Ullrich Krueger, Timo Buhl, Albert Rosenberger, Bianca Korpas

    المصدر: Journal of the American Academy of Dermatology. 62:785-793

    مصطلحات موضوعية: Adult, Male, Risk, medicine.medical_specialty, Skin Neoplasms, Dermoscopy, Dermatology, Sensitivity and Specificity, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Melanoma, Dermatoscopy, medicine.diagnostic_test, business.industry, Retrospective cohort study, Odds ratio, medicine.disease, Checklist, Confidence interval, Surgery, Relative risk, Female, business, Algorithms

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4f697b048a25562833398e1c021ab5Test
    https://doi.org/10.1016/j.jaad.2009.08.049Test


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