N. Codella

发表

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.

R. Hofmann-Wellenhof, H. Cabo, A. Lallas, 2019, The Lancet. Oncology.

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems

Daniel P. W. Ellis, Gang Hua, Shih-Fu Chang, 2012, TRECVID.

Modeling Attributes from Category-Attribute Proportions

Tao Chen, Shih-Fu Chang, John R. Smith, 2014, ACM Multimedia.

A Broader Study of Cross-Domain Few-Shot Learning

Kate Saenko, Tajana Rosing, Leonid Karlinsky, 2019, ECCV.

The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice.

N. Codella, A. Halpern, V. Rotemberg, 2019, Seminars in cutaneous medicine and surgery.

Effects of papillary muscles and trabeculae on left ventricular quantification: increased impact of methodological variability in patients with left ventricular hypertrophy

N. Codella, J. Min, P. Okin, 2008, Journal of hypertension.

A Broader Study of Cross-Domain Few-Shot Learning

Kate Saenko, N. Codella, R. Feris, 2019, ECCV.

Left ventricle: automated segmentation by using myocardial effusion threshold reduction and intravoxel computation at MR imaging.

Yi Wang, N. Codella, M. Cham, 2008, Radiology.

Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

A. Kalloo, A. Marghoob, N. Codella, 2018, Journal of the American Academy of Dermatology.

Respiratory and cardiac self‐gated free‐breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition

N. Codella, Yi Wang, M. Prince, 2010, Magnetic resonance in medicine.

A generalized framework for medical image classification and recognition

Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood, 2015, IBM J. Res. Dev..

Computer Algorithms Show Potential for Improving Dermatologists' Accuracy to Diagnose Cutaneous Melanoma; Results of ISIC 2017.

A. Kalloo, N. Codella, David Gutman, 2020, Journal of the American Academy of Dermatology.

Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

Jonathan W. Weinsaft, Richard B. Devereux, Raymond J. Kim, 2019, Journal of Cardiovascular Magnetic Resonance.

Impact of diastolic dysfunction severity on global left ventricular volumetric filling - assessment by automated segmentation of routine cine cardiovascular magnetic resonance

Yi Wang, Martin R Prince, Sonia Sethi, 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

i-Code: An Integrative and Composable Multimodal Learning Framework

Yujia Xie, Ziyi Yang, Dongdong Chen, 2022, 2205.01818.

i-Code: An Integrative and Composable Multimodal Learning Framework

N. Codella, Xuedong Huang, T. Yoshioka, 2022, AAAI.

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

N. Codella, Kai-Wei Chang, Jianwei Yang, 2022, ArXiv.

Massive-scale learning of image and video semantic concepts

John R. Smith, Liangliang Cao, Noel C. F. Codella, 2015, IBM J. Res. Dev..

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks

N. Codella, Shih-Fu Chang, Xiyang Dai, 2022, ArXiv.

Geometry-independent inclusion of basal myocardium yields improved cardiac magnetic resonance agreement with echocardiography and necropsy quantified left-ventricular mass

Mitchell A. Cooper, N. Codella, D. Fieno, 2013, Journal of hypertension.

Improved Left Ventricular Mass Quantification With Partial Voxel Interpolation: In Vivo and Necropsy Validation of a Novel Cardiac MRI Segmentation Algorithm

Yi Wang, Robert Judd, John Paul Finn, 2012, Circulation. Cardiovascular imaging.

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

N. Codella, Haoxuan You, Haoxuan You, 2022, ECCV.

CvT: Introducing Convolutions to Vision Transformers

N. Codella, Lu Yuan, Xiyang Dai, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

P. Tschandl, N. Codella, David Gutman, 2022, The Lancet. Digital health.

Automated Segmentation of Routine Clinical Cardiac Magnetic Resonance Imaging for Assessment of Left Ventricular Diastolic Dysfunction

Yi Wang, Martin R Prince, Keigo Kawaji, 2009, Circulation. Cardiovascular imaging.

Rapid automated quantification of left ventricular ejection fraction with LV-METRIC – a novel segmentation algorithm

N. Codella, Yi Wang, M. Cham, 2009, Journal of Cardiovascular Magnetic Resonance.

A patient-centric dataset of images and metadata for identifying melanomas using clinical context pdf

George Shih, H. Peter Soyer, Marc Combalia, 2020, Scientific Data.

DaViT: Dual Attention Vision Transformers – Supplementary Material –

N. Codella, Jingdong Wang, Bin Xiao, 2022 .

Artificial Intelligence Approach in Melanoma

Allan C. Halpern, Noel C. F. Codella, M. Emre Celebi, 2019, Melanoma.

RegionCLIP: Region-based Language-Image Pretraining pdf

Lu Yuan, Jianwei Yang, Jianfeng Gao, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Florence: A New Foundation Model for Computer Vision pdf

Lu Yuan, Michael Zeng, Pengchuan Zhang, 2021, ArXiv.

Dermoscopy Image Analysis: Overview and Future Directions

M. Emre Celebi, M. E. Celebi, Noel Codella, 2019, IEEE Journal of Biomedical and Health Informatics.

Learning by focusing: A new framework for concept recognition and feature selection

John R. Kender, John R. Smith, Leiguang Gong, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks pdf

Mohammed Yeasin, Pouya Bashivan, Irina Rish, 2015, ICLR.

DaViT: Dual Attention Vision Transformers

N. Codella, P. Luo, Jingdong Wang, 2022, ECCV.

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System

Daniel P. W. Ellis, Gang Hua, Shih-Fu Chang, 2011, TRECVID.

BCN20000: Dermoscopic Lesions in the Wild pdf

Verónica Vilaplana, Allan C. Halpern, Noel C. F. Codella, 2019, Scientific data.

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 Gutman, M. Emre Celebi, 2016, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Image Segmentation Techniques

Noel C. F. Codella, John R. Smith, N. Codella, 1984 .

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.

P. Tschandl, N. Codella, David Gutman, 2021, JAMA dermatology.

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

Danail Stoyanov, Noel C. F. Codella, Jonathan McLeod, 2018, Lecture Notes in Computer Science.

Human–computer collaboration for skin cancer recognition

John Paoli, Christoph Rinner, Harald Kittler, 2020, Nature Medicine.

Echocardiographic Algorithm for Post-Myocardial Infarction LV Thrombus: A Gatekeeper for Thrombus Evaluation by Delayed Enhancement CMR.

N. Codella, R. Kim, R. Devereux, 2016, JACC. Cardiovascular imaging.

Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LV-FAST)

Yi Wang, Martin R Prince, Lijia Wang, 2015, BioMed research international.

Deep learning ensembles for melanoma recognition in dermoscopy images pdf

Sharath Pankanti, John R. Smith, Noel C. F. Codella, 2016, IBM J. Res. Dev..

Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images

John R. Smith, Junjie Cai, Rahil Garnavi, 2015, MLMI.

Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI

Yi Wang, Hae-Yeoun Lee, Noel C. F. Codella, 2010, IEEE Transactions on Biomedical Engineering.

TED: Teaching AI to Explain its Decisions

Amit Dhurandhar, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, 2018, AIES.

IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012

John R. Smith, Yuan-Chi Chang, Liangliang Cao, 2012, CLEF.

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

Noel C. F. Codella, M. Emre Celebi, Veronica Rotemberg, 2019, ArXiv.

Streaming Video Model

N. Codella, Zhengjun Zha, Dongdong Chen, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets pdf

Kush R. Varshney, Noel C. F. Codella, Celia Cintas, 2019, ArXiv.

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images pdf

John R. Smith, Rogério Schmidt Feris, Noel C. F. Codella, 2018, MLCN/DLF/iMIMIC@MICCAI.

Fairness of Classifiers Across Skin Tones in Dermatology

Kush R. Varshney, Noel C. F. Codella, Prasanna Sattigeri, 2020, MICCAI.

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Chenguang Zhu, Dongdong Chen, 2023, ArXiv.

Rapid and accurate left ventricular chamber quantification using a novel CMR segmentation algorithm: A clinical validation study

Yi Wang, Martin R Prince, James K Min, 2010, Journal of magnetic resonance imaging : JMRI.

Teaching Meaningful Explanations pdf

Amit Dhurandhar, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, 2018, ArXiv.

Accurate and Scalable System for Automatic Detection of Malignant Melanoma

Qiang Chen, Noel C. F. Codella, Xingzhi Sun, 2015 .

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning pdf

Rogério Schmidt Feris, Tajana Simunic, Noel C. F. Codella, 2019, ArXiv.

Viewpoint Recognition in Cardiac CT Images

Tanveer F. Syeda-Mahmood, Noel C. F. Codella, Mehdi Moradi, 2015, FIMH.

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach

John R. Smith, Tanveer F. Syeda-Mahmood, Noel C. F. Codella, 2016, SPIE Medical Imaging.

Left ventricle segmentation using graph searching on intensity and gradient and a priori knowledge (lvGIGA) for short‐axis cardiac magnetic resonance imaging

Hae-Yeoun Lee, Noel Codella, Matthew Cham, 2008, Journal of magnetic resonance imaging : JMRI.

P2L: Predicting Transfer Learning for Images and Semantic Relations

Matthew Q. Hill, John R. Kender, Bishwaranjan Bhattacharjee, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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)

N. Codella, David Gutman, B. Helba, 2016, ArXiv.

Marked variability in published CMR criteria for left ventricular basal slice selection - impact of methodological discrepancies on LV mass quantification

N. Codella, R. Devereux, J. Weinsaft, 2013, Journal of Cardiovascular Magnetic Resonance.

Effects of papillary muscles and trabeculae on left ventricular quantification: increased impact of methodological variability in patients with left ventricular hypertrophy

N. Codella, P. Okin, R. Devereux, 2008, Journal of hypertension.

A reinforcement learning model for AI-based decision support in skin cancer

A. Lallas, I. Zalaudek, P. Tschandl, 2023, Nature Medicine.

DaViT: Dual Attention Vision Transformers

N. Codella, P. Luo, Jingdong Wang, 2022, ECCV.