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Brian Helba
Brian Helba
Dirección de correo verificada de kitware.com
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Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging …
NCF Codella, D Gutman, ME Celebi, B Helba, MA Marchetti, SW Dusza, ...
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
20372018
Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic)
N Codella, V Rotemberg, P Tschandl, ME Celebi, S Dusza, D Gutman, ...
arXiv preprint arXiv:1902.03368, 2019
11362019
Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (ISBI) 2016, hosted by the international skin imaging …
D Gutman, NCF Codella, E Celebi, B Helba, M Marchetti, N Mishra, ...
arXiv preprint arXiv:1605.01397, 2016
7642016
Deep learning ensembles for melanoma recognition in dermoscopy images
NCF Codella, QB Nguyen, S Pankanti, DA Gutman, B Helba, AC Halpern, ...
IBM Journal of Research and Development 61 (4/5), 5: 1-5: 15, 2017
6452017
Bcn20000: Dermoscopic lesions in the wild
M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 2019
4872019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
P Tschandl, N Codella, BN Akay, G Argenziano, RP Braun, H Cabo, ...
The lancet oncology 20 (7), 938-947, 2019
4382019
A patient-centric dataset of images and metadata for identifying melanomas using clinical context
V Rotemberg, N Kurtansky, B Betz-Stablein, L Caffery, E Chousakos, ...
Scientific data 8 (1), 34, 2021
3892021
Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to …
MA Marchetti, NCF Codella, SW Dusza, DA Gutman, B Helba, A Kalloo, ...
Journal of the American Academy of Dermatology 78 (2), 270-277. e1, 2018
2922018
A multimodal cell census and atlas of the mammalian primary motor cortex
Principal manuscript editors, Analysis coordination, ...
Nature 598 (7879), 86-102, 2021
2762021
Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017
MA Marchetti, K Liopyris, SW Dusza, NCF Codella, DA Gutman, B Helba, ...
Journal of the American Academy of Dermatology 82 (3), 622-627, 2020
902020
Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR derm consensus guidelines from the international skin imaging collaboration …
R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ...
JAMA dermatology 158 (1), 90-96, 2022
862022
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
M Combalia, N Codella, V Rotemberg, C Carrera, S Dusza, D Gutman, ...
The Lancet Digital Health 4 (5), e330-e339, 2022
712022
A modular computational framework for medical digital twins
J Masison, J Beezley, Y Mei, HAL Ribeiro, AC Knapp, L Sordo Vieira, ...
Proceedings of the National Academy of Sciences 118 (20), e2024287118, 2021
552021
Skin lesion analysis toward melanoma detection
D Gutman, N Codella, E Celebi, B Helba, M Marchetti, N Mishra, ...
International Symposium on Biomedical Imaging (ISBI),(International Skin …, 2016
342016
Tumor volume measurement error using computed tomography imaging in a phase II clinical trial in lung cancer
CI Henschke, DF Yankelevitz, R Yip, V Archer, G Zahlmann, K Krishnan, ...
Journal of Medical Imaging 3 (3), 035505-035505, 2016
242016
A multimodal cell census and atlas of the mammalian primary motor cortex
BRAIN Initiative Cell Census Network (BICCN), RS Adkins, AI Aldridge, ...
Biorxiv, 2020.10. 19.343129, 2020
222020
Checklist for evaluation of image-based AI reports in dermatology: CLEAR derm consensus guidelines from the International Skin Imaging Collaboration artificial intelligence …
R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ...
JAMA dermatology 158 (1), 90, 2022
52022
Multi-scale classification based lesion segmentation for dermoscopic images
M Abedini, N Codella, R Chakravorty, R Garnavi, D Gutman, B Helba, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
52016
Computational modeling of macrophage iron sequestration during host defense against Aspergillus
B Adhikari, Y Scindia, L Sordo Vieira, H de Assis Lopes Ribeiro, ...
Msphere 7 (4), e00074-22, 2022
42022
Simultaneous estimation of bias and resolution in PET images with a long-lived “pocket” phantom system
PE Kinahan, DW Byrd, B Helba, KA Wangerin, X Liu, JR Levy, KC Allberg, ...
Tomography 4 (1), 33-41, 2018
42018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20