| 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 | 980 | 2018 |
| Learning representations from EEG with deep recurrent-convolutional neural networks P Bashivan, I Rish, M Yeasin, N Codella arXiv preprint arXiv:1511.06448, 2015 | 630 | 2015 |
| 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 | 414 | 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 | 409 | 2017 |
| 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 | 383 | 2019 |
| Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images N Codella, J Cai, M Abedini, R Garnavi, A Halpern, JR Smith International workshop on machine learning in medical imaging, 118-126, 2015 | 319 | 2015 |
| Cvt: Introducing convolutions to vision transformers H Wu, B Xiao, N Codella, M Liu, X Dai, L Yuan, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision, 22-31, 2021 | 280 | 2021 |
| 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 | 214 | 2019 |
| Human–computer collaboration for skin cancer recognition P Tschandl, C Rinner, Z Apalla, G Argenziano, N Codella, A Halpern, ... Nature Medicine 26 (8), 1229-1234, 2020 | 200 | 2020 |
| 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 | 190 | 2018 |
| Bcn20000: Dermoscopic lesions in the wild M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ... arXiv preprint arXiv:1908.02288, 2019 | 162 | 2019 |
| Respiratory and cardiac self‐gated free‐breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition J Liu, P Spincemaille, NCF Codella, TD Nguyen, MR Prince, Y Wang Magnetic resonance in medicine 63 (5), 1230-1237, 2010 | 145 | 2010 |
| Automatic left ventricle segmentation using iterative thresholding and an active contour model with adaptation on short-axis cardiac MRI HY Lee, NCF Codella, MD Cham, JW Weinsaft, Y Wang IEEE Transactions on Biomedical Engineering 57 (4), 905-913, 2009 | 144 | 2009 |
| Echocardiographic algorithm for post–myocardial infarction LV thrombus: a gatekeeper for thrombus evaluation by delayed enhancement CMR JW Weinsaft, J Kim, CB Medicherla, CL Ma, NCF Codella, N Kukar, ... JACC: Cardiovascular Imaging 9 (5), 505-515, 2016 | 127 | 2016 |
| A broader study of cross-domain few-shot learning Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ... European Conference on Computer Vision, 124-141, 2020 | 113* | 2020 |
| Dermoscopy image analysis: overview and future directions ME Celebi, N Codella, A Halpern IEEE journal of biomedical and health informatics 23 (2), 474-478, 2019 | 96 | 2019 |
| Automated segmentation of routine clinical cardiac magnetic resonance imaging for assessment of left ventricular diastolic dysfunction K Kawaji, NCF Codella, MR Prince, CW Chu, A Shakoor, TM LaBounty, ... Circulation: Cardiovascular Imaging 2 (6), 476-484, 2009 | 90 | 2009 |
| 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), 1-8, 2021 | 87 | 2021 |
| Effects of papillary muscles and trabeculae on left ventricular quantification: increased impact of methodological variability in patients with left ventricular hypertrophy M Janik, MD Cham, MI Ross, Y Wang, N Codella, JK Min, MR Prince, ... Journal of hypertension 26 (8), 1677-1685, 2008 | 80 | 2008 |
| Left Ventricle: Automated Segmentation by Using Myocardial Effusion Threshold Reduction and Intravoxel Computation at MR Imaging1 NCF Codella, JW Weinsaft, MD Cham, M Janik, MR Prince, Y Wang Radiology 248 (3), 1004-1012, 2008 | 76 | 2008 |
John R. SmithIBM T. J. Watson Research CenterVerified email at us.ibm.com
