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CvT: Introducing Convolutions to Vision Transformers


Mar 29, 2021
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang


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A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context


Aug 07, 2020
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, Liam Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen Dusza, Pascale Guitera, David Gutman, Allan Halpern, Harald Kittler, Kivanc Kose, Steve Langer, Konstantinos Lioprys, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer

* Figures: 3, Tables: 2, Pages: 12 

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P2L: Predicting Transfer Learning for Images and Semantic Relations


Aug 20, 2019
Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian Belgodere

* 10 pages, 5 figures, 6 tables 

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Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)


Mar 29, 2019
Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern

* https://challenge2018.isic-archive.com/ 

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Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images


Oct 18, 2016
Noel Codella, Quoc-Bao Nguyen, Sharath Pankanti, David Gutman, Brian Helba, Allan Halpern, John R. Smith

* IBM Journal of Research and Development, vol. 61, no. 4/5, 2017 
* URL for the IBM Journal of Research and Development: http://www.research.ibm.com/journal/ 

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Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks


Feb 29, 2016
Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella

* To be published as a conference paper at ICLR 2016 

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