| 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 | 1936 | 2018 |
| 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 | 1062 | 2019 |
| 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 | 734 | 2016 |
| 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 | 634 | 2017 |
| Bcn20000: Dermoscopic lesions in the wild M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ... arXiv preprint arXiv:1908.02288, 2019 | 453 | 2019 |
| 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 | 415 | 2019 |
| 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 | 368 | 2021 |
| 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 | 287 | 2018 |
| A multimodal cell census and atlas of the mammalian primary motor cortex Principal manuscript editors, Analysis coordination, ... Nature 598 (7879), 86-102, 2021 | 262 | 2021 |
| 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 | 85 | 2020 |
| 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 | 80 | 2022 |
| 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 | 62 | 2022 |
| 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 | 52 | 2021 |
| 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 | 33 | 2016 |
| 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 | 24 | 2016 |
| 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 | 22 | 2020 |
| 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 | 5 | 2022 |
| 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 | 5 | 2016 |
| 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 | 4 | 2018 |
| 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 | 3 | 2022 |
