Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI. - Hae-Yeoun Lee; Noel C. F. Codella; Matthew D. Cham; Jonathan W. Weinsaft; Yi Wang (IEEE Trans. Biomed. Eng., 2010)

Towards large scale land-cover recognition of satellite images. - Noel C. F. Codella; Gang Hua 001; Apostol Natsev; John R. Smith (ICICS, 2011)

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; Apostol Natsev; et al. (TRECVID, 2011)

IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012. - Liangliang Cao; Yuan-Chi Chang; Noel C. F. Codella; Michele Merler; Quoc-Bao Nguyen; John R. Smith (CLEF (Online Working Notes/Labs/Workshop), 2012)

Cardiac anatomy as a biometric. - Noel C. F. Codella; Jonathan Connell; Nalini K. Ratha; Jonathan W. Weinsaft (ICIP, 2012)

Video Event Detection Using Temporal Pyramids of Visual Semantics with Kernel Optimization and Model Subspace Boosting. - Noel C. F. Codella; Apostol Natsev; Gang Hua 001; Matthew L. Hill; Liangliang Cao; Leiguang Gong; John R. Smith (ICME, 2012)

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; John R. Smith; et al. (TRECVID, 2012)

Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. - Noel C. F. Codella; Gang Hua 001; Liangliang Cao; Michele Merler; Leiguang Gong; Matthew L. Hill; John R. Smith (ICIP, 2013)

Learning by focusing: A new framework for concept recognition and feature selection. - Liangliang Cao; Leiguang Gong; John R. Kender; Noel C. F. Codella; John R. Smith (ICME, 2013)

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. - Lisa M. Brown; Liangliang Cao; Chih-Fu Chang; Yu Cheng 001; Alok N. Choudhary; Noel Codella; Courtenay V. Cotton; Dan Ellis; Quanfu Fan; Rogério Schmidt Feris; Leiguang Gong; Matthew L. Hill; et al. (TRECVID, 2013)

Automated Medical Image Modality Recognition by Fusion of Visual and Text Information. - Noel C. F. Codella; Jonathan H. Connell; Sharath Pankanti; Michele Merler; John R. Smith (MICCAI (2), 2014)

Modeling Attributes from Category-Attribute Proportions. - Felix X. Yu; Liangliang Cao; Michele Merler; Noel C. F. Codella; Tao Chen 015; John R. Smith; Shih-Fu Chang (ACM Multimedia, 2014)

Viewpoint Recognition in Cardiac CT Images. - Mehdi Moradi; Noel C. F. Codella; Tanveer F. Syeda-Mahmood (FIMH, 2015)

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images. - Noel Codella; Junjie Cai; Mani Abedini; Rahil Garnavi; Alan Halpern; John R. Smith (MLMI, 2015)

A generalized framework for medical image classification and recognition. - Mani Abedini; Noel C. F. Codella; Jonathan H. Connell; Rahil Garnavi; Michele Merler; Sharath Pankanti; John R. Smith; Tanveer F. Syeda-Mahmood (IBM J. Res. Dev., 2015)

Massive-scale learning of image and video semantic concepts. - John R. Smith; Liangliang Cao; Noel C. F. Codella; Matthew L. Hill; Michele Merler; Quoc-Bao Nguyen; E. Pring; Rosario A. Uceda-Sosa (IBM J. Res. Dev., 2015)

Multi-scale classification based lesion segmentation for dermoscopic images. - Mani Abedini; Noel C. F. Codella; Rajib Chakravorty; Rahil Garnavi; David A. Gutman; Brian Helba; John R. Smith (EMBC, 2016)

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. - Noel C. F. Codella; Mehdi Moradi; Matt Matasar; Tanveer F. Syeda-Mahmood; John R. Smith (Digital Pathology, 2016)

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks. - Pouya Bashivan; Irina Rish; Mohammed Yeasin; Noel Codella (ICLR (Poster), 2016)

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). - David A. Gutman; Noel C. F. Codella; M. Emre Celebi 001; Brian Helba; Michael A. Marchetti; Nabin K. Mishra; Allan Halpern (CoRR, 2016)

Deep learning ensembles for melanoma recognition in dermoscopy images. - Noel C. F. Codella; Quoc-Bao Nguyen; Sharath Pankanti; David A. Gutman; Brian Helba; Alan Halpern; John R. Smith (IBM J. Res. Dev., 2017)

Leveraging multiple cues for recognizing family photos. - Xiaolong Wang 006; Guodong Guo; Michele Merler; Noel C. F. Codella; M. V. Rohith; John R. Smith; Chandra Kambhamettu (Image Vis. Comput., 2017)

Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting. - Noel C. F. Codella; Daren Anderson; Tyler Philips; Anthony Porto; Kevin Massey; Jane Snowdon; Rogério Schmidt Feris; John R. Smith (EMBC, 2018)

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). - Noel C. F. Codella; David A. Gutman; M. Emre Celebi 001; Brian Helba; Michael A. Marchetti; Stephen W. Dusza; Aadi Kalloo; Konstantinos Liopyris; Nabin K. Mishra; Harald Kittler; Allan Halpern (ISBI, 2018)

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. - Noel C. F. Codella; Chung-Ching Lin; Allan Halpern; Michael Hind; Rogério Schmidt Feris; John R. Smith (MLCN/DLF/iMIMIC@MICCAI, 2018)

Teaching Meaningful Explanations. - Noel C. F. Codella; Michael Hind; Karthikeyan Natesan Ramamurthy; Murray Campbell; Amit Dhurandhar; Kush R. Varshney; Dennis Wei; Aleksandra Mojsilovic (CoRR, 2018)

TED: Teaching AI to Explain its Decisions. - Michael Hind; Dennis Wei; Murray Campbell; Noel C. F. Codella; Amit Dhurandhar; Aleksandra Mojsilovic; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (AIES, 2019)

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). - Noel C. F. Codella; Veronica Rotemberg; Philipp Tschandl; M. Emre Celebi 001; Stephen W. Dusza; David A. Gutman; Brian Helba; Aadi Kalloo; Konstantinos Liopyris; Michael A. Marchetti; Harald Kittler; Allan Halpern (CoRR, 2019)

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. - Noel C. F. Codella; Michael Hind; Karthikeyan Natesan Ramamurthy; Murray Campbell; Amit Dhurandhar; Kush R. Varshney; Dennis Wei; Aleksandra Mojsilovic (CoRR, 2019)

BCN20000: Dermoscopic Lesions in the Wild. - Marc Combalia; Noel C. F. Codella; Veronica Rotemberg; Brian Helba; Verónica Vilaplana; Ofer Reiter; Allan C. Halpern; Susana Puig; Josep Malvehy (CoRR, 2019)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; Noel Codella; John R. Kender; Siyu Huo; Patrick Watson; Michael R. Glass; Parijat Dube; Matthew Hill; Brian M. Belgodere (CoRR, 2019)

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets. - Newton M. Kinyanjui; Timothy Odonga; Celia Cintas; Noel C. F. Codella; Rameswar Panda; Prasanna Sattigeri; Kush R. Varshney (CoRR, 2019)

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. - Yunhui Guo; Noel C. F. Codella; Leonid Karlinsky; John R. Smith; Tajana Rosing; Rogério Schmidt Feris (CoRR, 2019)

Dermoscopy Image Analysis: Overview and Future Directions. - M. Emre Celebi 001; Noel Codella; Allan Halpern (IEEE J. Biomed. Health Informatics, 2019)

Guest Editorial Skin Lesion Image Analysis for Melanoma Detection. - M. Emre Celebi 001; Noel Codella; Allan Halpern; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2019)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; John R. Kender; Matthew Hill; Parijat Dube; Siyu Huo; Michael R. Glass; Brian M. Belgodere; Sharath Pankanti; Noel Codella; Patrick Watson (CVPR Workshops, 2020)

A Broader Study of Cross-Domain Few-Shot Learning. - Yunhui Guo; Noel Codella; Leonid Karlinsky; James V. Codella; John R. Smith; Kate Saenko; Tajana Rosing; Rogério Feris (ECCV (27), 2020)

Fairness of Classifiers Across Skin Tones in Dermatology. - Newton M. Kinyanjui; Timothy Odonga; Celia Cintas; Noel C. F. Codella; Rameswar Panda; Prasanna Sattigeri; Kush R. Varshney (MICCAI (6), 2020)

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. - 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; et al. (CoRR, 2020)

CvT: Introducing Convolutions to Vision Transformers. - Haiping Wu; Bin Xiao 004; Noel Codella; Mengchen Liu; Xiyang Dai; Lu Yuan; Lei Zhang 001 (ICCV, 2021)

Florence: A New Foundation Model for Computer Vision. - Lu Yuan; Dongdong Chen 001; Yi-Ling Chen; Noel Codella; Xiyang Dai; Jianfeng Gao 001; Houdong Hu; Xuedong Huang 001; Boxin Li; Chunyuan Li; Ce Liu 001; Mengchen Liu; et al. (CoRR, 2021)

RegionCLIP: Region-based Language-Image Pretraining. - Yiwu Zhong; Jianwei Yang; Pengchuan Zhang; Chunyuan Li; Noel Codella; Liunian Harold Li; Luowei Zhou; Xiyang Dai; Lu Yuan; Yin Li 003; Jianfeng Gao 001 (CVPR, 2022)

DaViT: Dual Attention Vision Transformers. - Mingyu Ding; Bin Xiao 004; Noel Codella; Ping Luo 002; Jingdong Wang 001; Lu Yuan (ECCV (24), 2022)

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. - Haoxuan You; Luowei Zhou; Bin Xiao 004; Noel Codella; Yu Cheng 001; Ruochen Xu; Shih-Fu Chang; Lu Yuan (ECCV (27), 2022)

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. - Zhecan Wang; Noel Codella; Yen-Chun Chen 001; Luowei Zhou; Jianwei Yang; Xiyang Dai; Bin Xiao 004; Haoxuan You; Shih-Fu Chang; Lu Yuan (CoRR, 2022)

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. - Zhecan Wang; Noel Codella; Yen-Chun Chen 001; Luowei Zhou; Xiyang Dai; Bin Xiao 004; Jianwei Yang; Haoxuan You; Kai-Wei Chang; Shih-Fu Chang; Lu Yuan (CoRR, 2022)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. - Rui Sun; Zhecan Wang; Haoxuan You; Noel Codella; Kai-Wei Chang; Shih-Fu Chang (ACL (Findings), 2023)

Streaming Video Model. - Yucheng Zhao; Chong Luo; Chuanxin Tang; Dongdong Chen 001; Noel Codella; Zheng-Jun Zha (CVPR, 2023)

Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. - Zhecan Wang; Long Chen 016; Haoxuan You; Keyang Xu; Yicheng He; Wenhao Li; Noel Codella; Kai-Wei Chang; Shih-Fu Chang (EMNLP (Findings), 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

MAIRA-1: A specialised large multimodal model for radiology report generation. - 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; et al. (CoRR, 2023)

3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology. - 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 (CoRR, 2023)

Fully Authentic Visual Question Answering Dataset from Online Communities. - Chongyan Chen; Mengchen Liu; Noel Codella; Yunsheng Li; Lu Yuan; Danna Gurari (ECCV (48), 2024)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. - 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; et al. (CoRR, 2024)

Generative Enhancement for 3D Medical Images. - Lingting Zhu; Noel Codella; Dongdong Chen 001; Zhenchao Jin; Lu Yuan; Lequan Yu (CoRR, 2024)

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. - 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; et al. (CoRR, 2024)

Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Dan-Cristian Stanciu; Alexandra-Georgiana Andrei; Ahmedkhan Radzhabov; Yuri Prokopchuk; Liviu-Daniel Stefan; Mihai Gabriel Constantin; Mihai Dogariu; Vassili Kovalev; Hendrik Damm; Johannes Rückert; et al. (CLEF, 2025)

ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - 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 001; et al. (ECIR (5), 2025)

Exploring scalable medical image encoders beyond text supervision. - 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; et al. (Nat. Mac. Intell., 2025)

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification. - Xue Li; Jameson Merkow; Noel C. F. Codella; Alberto Santamaría-Pang; Naiteek Sangani; Alexander Ersoy; Christopher Burt; John W. Garrett; Richard J. Bruce; Joshua D. Warner; Tyler J. Bradshaw; Ivan Tarapov; et al. (CoRR, 2025)