Matin, Rubeta N.
104  results:
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4

From data to diagnosis: skin cancer image datasets for arti..:

Wen, David ; Soltan, Andrew ; Trucco, Emanuele.
Clinical and Experimental Dermatology.  49 (2024)  7 - p. 675-685 , 2024
 
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5

Widening the scope of artificial intelligence applications ..:

Matin, Rubeta N
Clinical and Experimental Dermatology.  49 (2024)  7 - p. 671-674 , 2024
 
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Key issues when considering adopting a skin cancer diagnost..:

Kelly, Laura ; Coote, Laura ; Dinnes, Jacqueline...
British Journal of Dermatology.  189 (2023)  2 - p. 219-222 , 2023
 
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9

Cutaneous leiomyosarcoma: a retrospective review of 45 case:

Khan, Sabrina ; Asher, Ruth ; Perkins, William.
Clinical and Experimental Dermatology.  49 (2023)  1 - p. 2-8 , 2023
 
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10

Leveraging large language models in dermatology:

Matin, Rubeta N ; Linos, Eleni ; Rajan, Neil
British Journal of Dermatology.  189 (2023)  3 - p. 253-254 , 2023
 
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11

008 How often and how quickly do people with a first cutane..:

van Bodegraven, Birgitta ; Vernon, Sally ; Chen, Cong...
British Journal of Dermatology.  188 (2023)  Supplement_4 - p. , 2023
 
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13

Special issue on artificial intelligence: call for papers:

Shipman, Alexa R ; Matin, Rubeta N
Clinical and Experimental Dermatology.  48 (2023)  9 - p. 961-961 , 2023
 
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14

DS27 Establishing clinician and patient perspectives on a p..:

Barlow, Richard ; Thomas-Jones, Emma ; Austin, Chloé...
British Journal of Dermatology.  188 (2023)  Supplement_4 - p. , 2023
 
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15

From the Cochrane Library: Nonsurgical interventions for cu..:

Strock, Daniel M. ; Militello, Michelle ; Sivesind, Torunn E...
Journal of the American Academy of Dermatology.  87 (2022)  2 - p. 494-495 , 2022
 
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