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365 results on '"Klode, Joachim"'

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1. A Skin Cancer Prevention Facial-Aging Mobile App for Secondary Schools in Brazil: Appearance-Focused Interventional Study

2. Photoaging Mobile Apps as a Novel Opportunity for Melanoma Prevention: Pilot Study

3. Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma – analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM

5. Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

15. Noninvasive Photoacoustic Imaging: A New Diagnostic Tool for Early Detection of Diabetes? A Controlled Comparative Trial of 169 Patients

20. High-resolution three-dimensional imaging for precise staging in melanoma

24. Response to Combined Peptide Receptor Radionuclide Therapy and Checkpoint Immunotherapy with Ipilimumab Plus Nivolumab in Metastatic Merkel Cell Carcinoma

31. Computed tomography-guided biopsy of radiologically unclear lesions in advanced skin cancer: A retrospective analysis of 47 cases

32. Metastatic pigmented epithelioid melanocytoma in a 7‐year‐old female

33. Computed tomography-guided biopsy of radiologically unclear lesions in advanced skin cancer: A retrospective analysis of 47 cases

36. Erregerspektrum des chronischen Ulcus cruris: Ergebnisse einer multizentrischen Untersuchung dermatologischer Wundzentren im regionalen Vergleich Bacteriological pathogen spectrum of chronic leg ulcers: Results of a multicenter trial in dermatologic wound care centers differentiated by regions

37. High-resolution 3-D imaging for precise staging in malignant melanoma [preprint]

38. Macrophages/microglia represent the major source of indolamine 2,3-dioxygenase expression in melanoma metastases of the brain

39. A subset of mature neutrophils contains the strongest PMN-MDSC activity in blood and tissue of patients with head and neck cancer

40. High-resolution 3-D imaging for precise staging in malignant melanoma

41. Reply to the letter to the editor: 'Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images'

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