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ORCIDNoel Codella
Noel C. F. Codella
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- affiliation: IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
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Journal Articles
- 2025
[j8]Fernando Pérez-García
, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Teodora Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay:
Exploring scalable medical image encoders beyond text supervision. Nat. Mac. Intell. 7(1): 119-130 (2025)- 2019
- [j7]M. Emre Celebi, Noel Codella, Allan Halpern:
Dermoscopy Image Analysis: Overview and Future Directions. IEEE J. Biomed. Health Informatics 23(2): 474-478 (2019) - [j6]M. Emre Celebi, Noel Codella, Allan Halpern, Dinggang Shen:
Guest Editorial Skin Lesion Image Analysis for Melanoma Detection. IEEE J. Biomed. Health Informatics 23(2): 479-480 (2019) - 2017
- [j5]Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Alan Halpern, John R. Smith:
Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. 61(4-5): 5:1-5:15 (2017) - [j4]Xiaolong Wang, Guodong Guo, Michele Merler, Noel C. F. Codella, M. V. Rohith, John R. Smith, Chandra Kambhamettu:
Leveraging multiple cues for recognizing family photos. Image Vis. Comput. 58: 61-75 (2017) - 2015
- [j3]Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood:
A generalized framework for medical image classification and recognition. IBM J. Res. Dev. 59(2/3) (2015) - [j2]John R. Smith, Liangliang Cao, Noel C. F. Codella, Matthew L. Hill, Michele Merler, Quoc-Bao Nguyen, E. Pring, Rosario A. Uceda-Sosa:
Massive-scale learning of image and video semantic concepts. IBM J. Res. Dev. 59(2/3) (2015) - 2010
- [j1]Hae-Yeoun Lee, Noel C. F. Codella, Matthew D. Cham, Jonathan W. Weinsaft, Yi Wang:
Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI. IEEE Trans. Biomed. Eng. 57(4): 905-913 (2010)
Conference and Workshop Papers
- 2025
- [c34]Bogdan Ionescu, Henning Müller, Dan-Cristian Stanciu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba García Seco de Herrera, Alexandra Andrei, Andrea M. Storås, Asma Ben Abacha, Benjamin Bracke, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia Sabrina Schmidt, Diandra Fabre, Didier Schwab, Dimitar Dimitrov, Emmanuelle Esperança-Rodier, Mihai Gabriel Constantin, Helmut Becker, Hendrik Damm, Henning Schäfer, Ivan Rodkin, Ivan Koychev, Johannes Kiesel, Johannes Rückert, Josep Malvehy, Liviu-Daniel Stefan, Louise Bloch, Martin Potthast, Maximilian Heinrich, Michael A. Riegler, Mihai Dogariu, Noel Codella, Pål Halvorsen, Preslav Nakov, Raphael Brüngel, Roberto A. Novoa, Rocktim Jyoti Das, Steven Alexander Hicks, Sushant Gautam, Tabea Margareta Grace Pakull, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim, Zhuohan Xie:
ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (5) 2025: 398-406 - 2024
- [c33]Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari:
Fully Authentic Visual Question Answering Dataset from Online Communities. ECCV (48) 2024: 252-269 - [c32]Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) 2024: 1615-1627 - 2023
- [c31]Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI 2023: 10880-10890 - [c30]Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. ACL (Findings) 2023: 778-793 - [c29]Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha:
Streaming Video Model. CVPR 2023: 14602-14612 - [c28]Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) 2023: 8598-8617 - 2022
- [c27]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CVPR 2022: 16772-16782 - [c26]Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. ECCV (27) 2022: 69-87 - [c25]Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan:
DaViT: Dual Attention Vision Transformers. ECCV (24) 2022: 74-92 - 2021
- [c24]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. ICCV 2021: 22-31 - 2020
- [c23]Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CVPR Workshops 2020: 3284-3293 - [c22]Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris:
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) 2020: 124-141 - [c21]Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Fairness of Classifiers Across Skin Tones in Dermatology. MICCAI (6) 2020: 320-329 - 2019
- [c20]Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney:
TED: Teaching AI to Explain its Decisions. AIES 2019: 123-129 - 2018
- [c19]Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith:
Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting. EMBC 2018: 3414-3417 - [c18]Noel C. F. Codella, David A. Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern:
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). ISBI 2018: 168-172 - [c17]Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith:
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. MLCN/DLF/iMIMIC@MICCAI 2018: 97-105 - 2016
- [c16]Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith:
Multi-scale classification based lesion segmentation for dermoscopic images. EMBC 2016: 1361-1364 - [c15]Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith:
Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. Digital Pathology 2016: 97910H - [c14]Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella:
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. ICLR (Poster) 2016 - 2015
- [c13]Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood:
Viewpoint Recognition in Cardiac CT Images. FIMH 2015: 180-188 - [c12]Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith:
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. MLMI 2015: 118-126 - 2014
- [c11]Noel C. F. Codella, Jonathan H. Connell, Sharath Pankanti, Michele Merler, John R. Smith:
Automated Medical Image Modality Recognition by Fusion of Visual and Text Information. MICCAI (2) 2014: 487-495 - [c10]Felix X. Yu, Liangliang Cao, Michele Merler, Noel C. F. Codella, Tao Chen, John R. Smith, Shih-Fu Chang:
Modeling Attributes from Category-Attribute Proportions. ACM Multimedia 2014: 977-980 - 2013
- [c9]Noel C. F. Codella, Gang Hua, Liangliang Cao, Michele Merler, Leiguang Gong, Matthew L. Hill, John R. Smith:
Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. ICIP 2013: 2877-2881 - [c8]Liangliang Cao, Leiguang Gong, John R. Kender, Noel C. F. Codella, John R. Smith:
Learning by focusing: A new framework for concept recognition and feature selection. ICME 2013: 1-6 - [c7]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - 2012
- [c6]Liangliang Cao, Yuan-Chi Chang, Noel C. F. Codella, Michele Merler, Quoc-Bao Nguyen, John R. Smith:
IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c5]Noel C. F. Codella, Jonathan Connell, Nalini K. Ratha, Jonathan W. Weinsaft:
Cardiac anatomy as a biometric. ICIP 2012: 1137-1140 - [c4]Noel C. F. Codella, Apostol Natsev, Gang Hua, Matthew L. Hill, Liangliang Cao, Leiguang Gong, John R. Smith:
Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting. ICME 2012: 747-752 - [c3]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID 2012 - 2011
- [c2]Noel C. F. Codella, Gang Hua, Apostol Natsev, John R. Smith:
Towards large scale land-cover recognition of satellite images. ICICS 2011: 1-5 - [c1]Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Apostol Natsev, John R. Smith:
IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID 2011
Editorship
- 2018
- [e1]Danail Stoyanov, Zeike Taylor, Duygu Sarikaya, A. Jonathan McLeod, Miguel Ángel González Ballester, Noel C. F. Codella, Anne L. Martel, Lena Maier-Hein, Anand Malpani, Marco A. Zenati, Sandrine de Ribaupierre, Xióngbiao Luó, Toby Collins, Tobias Reichl, Klaus Drechsler, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, M. Emre Celebi, Kristin J. Dana, Allan Halpern:
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis - First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11041, Springer 2018, ISBN 978-3-030-01200-7 [contents]
Informal and Other Publications
- 2024
- [i32]Fernando Pérez-García, Harshita Sharma, Sam Bond-Taylor, Kenza Bouzid, Valentina Salvatelli, Maximilian Ilse, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Matthew P. Lungren, Maria Wetscherek, Noel Codella, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay:
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. CoRR abs/2401.10815 (2024) - [i31]Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu:
Generative Enhancement for 3D Medical Images. CoRR abs/2403.12852 (2024) - [i30]Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garrett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei:
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. CoRR abs/2410.06542 (2024) - 2023
- [i29]Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel Codella, Zheng-Jun Zha:
Streaming Video Model. CoRR abs/2303.17228 (2023) - [i28]Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR abs/2305.12311 (2023) - [i27]Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. CoRR abs/2307.00862 (2023) - [i26]Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR abs/2310.14670 (2023) - [i25]Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P. Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle:
MAIRA-1: A specialised large multimodal model for radiology report generation. CoRR abs/2311.13668 (2023) - [i24]Asma Ben Abacha, Alberto Santamaría-Pang, Ho Hin Lee, Jameson Merkow, Qin Cai, Surya Teja Devarakonda, Abdullah Islam, Julia Gong, Matthew P. Lungren, Thomas Lin, Noel C. F. Codella, Ivan Tarapov:
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology. CoRR abs/2311.13752 (2023) - [i23]Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari:
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR abs/2311.15562 (2023) - 2022
- [i22]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan:
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. CoRR abs/2201.05729 (2022) - [i21]Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan:
DaViT: Dual Attention Vision Transformers. CoRR abs/2204.03645 (2022) - [i20]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan:
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR abs/2204.10496 (2022) - [i19]Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR abs/2205.01818 (2022) - [i18]Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan:
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR abs/2207.12661 (2022) - 2021
- [i17]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. CoRR abs/2103.15808 (2021) - [i16]Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang:
Florence: A New Foundation Model for Computer Vision. CoRR abs/2111.11432 (2021) - [i15]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CoRR abs/2112.09106 (2021) - 2020
- [i14]Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer:
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR abs/2008.07360 (2020) - 2019
- [i13]Noel C. F. Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern:
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). CoRR abs/1902.03368 (2019) - [i12]Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. CoRR abs/1906.02299 (2019) - [i11]Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Verónica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy:
BCN20000: Dermoscopic Lesions in the Wild. CoRR abs/1908.02288 (2019) - [i10]Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CoRR abs/1908.07630 (2019) - [i9]Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney:
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. CoRR abs/1910.13268 (2019) - [i8]Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris:
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR abs/1912.07200 (2019) - 2018
- [i7]Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith:
Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting. CoRR abs/1804.05944 (2018) - [i6]Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
Teaching Meaningful Explanations. CoRR abs/1805.11648 (2018) - [i5]Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith:
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. CoRR abs/1805.12234 (2018) - [i4]Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic:
TED: Teaching AI to Explain its Decisions. CoRR abs/1811.04896 (2018) - 2017
- [i3]Noel C. F. Codella, David A. Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern:
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC). CoRR abs/1710.05006 (2017) - 2016
- [i2]David A. Gutman, Noel C. F. Codella, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Nabin K. Mishra, Allan Halpern:
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC). CoRR abs/1605.01397 (2016) - [i1]Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Allan Halpern, John R. Smith:
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images. CoRR abs/1610.04662 (2016)
Coauthor Index
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