Jayashree Kalpathy-Cramer
Orcid: 0000-0001-8906-9618
According to our database1,
Jayashree Kalpathy-Cramer
authored at least 126 papers
between 2006 and 2023.
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Bibliography
2023
IEEE Trans. Medical Imaging, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data.
CoRR, 2023
CoRR, 2023
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
npj Digit. Medicine, 2022
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology.
J. Digit. Imaging, 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction.
CoRR, 2022
CoRR, 2022
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021
Neuroinformatics, 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.
npj Digit. Medicine, 2020
Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging.
J. Am. Medical Informatics Assoc., 2020
Accounting for data variability in multi-institutional distributed deep learning for medical imaging.
J. Am. Medical Informatics Assoc., 2020
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions.
CoRR, 2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.
CoRR, 2020
Assessing the validity of saliency maps for abnormality localization in medical imaging.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity.
Proceedings of the AMIA 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty.
CoRR, 2019
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations.
CoRR, 2019
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries.
CoRR, 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images.
CoRR, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Proceedings of the Information Retrieval Evaluation in a Changing World, 2019
2018
ACM J. Data Inf. Qual., 2018
J. Am. Medical Informatics Assoc., 2018
CoRR, 2018
High-resolution medical image synthesis using progressively grown generative adversarial networks.
CoRR, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.
Proceedings of the AMIA 2018, 2018
2017
IEEE Trans. Medical Imaging, 2017
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints.
CoRR, 2017
Proceedings of the AMIA 2017, 2017
2016
IEEE Trans. Medical Imaging, 2016
A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study.
J. Digit. Imaging, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the AMIA 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015
Evaluating performance of biomedical image retrieval systems - An overview of the medical image retrieval task at ImageCLEF 2004-2013.
Comput. Medical Imaging Graph., 2015
A decade of community-wide efforts in advancing medical image understanding and retrieval.
Comput. Medical Imaging Graph., 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Development of a Software for Quantitative Evaluation Radiotherapy Target and Organ-at-Risk Segmentation Comparison.
J. Digit. Imaging, 2014
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer.
Frontiers Neuroinformatics, 2014
EURASIP J. Image Video Process., 2014
2013
Developing a Survey to Assess Factors that Contribute to Physician Involvement in Clinical Research.
Proceedings of the MEDINFO 2013, 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
2012
Accurate Determination of Imaging Modality using an Ensemble of Text- and Image-Based Classifiers.
J. Digit. Imaging, 2012
Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012
2011
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the CLEF 2011 Labs and Workshop, 2011
2010
Multimodal medical image retrieval: image categorization to improve search precision.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
Proceedings of the MEDINFO 2010, 2010
The ImageCLEF Medical Retrieval Task at ICPR 2010 - Information Fusion to Combine Visual and Textual Information.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the CLEF 2010 LABs and Workshops, 2010
Proceedings of the CLEF 2010 LABs and Workshops, 2010
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010
2009
J. Digit. Imaging, 2009
Int. J. Heal. Inf. Syst. Informatics, 2009
Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Overview of the First Workshop on Medical Content-Based Retrieval for Clinical Decision Support at MICCAI 2009.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009
Using Media Fusion and Domain Dimensions to Improve Precision in Medical Image Retrieval.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009
2008
Effectiveness of global features for automatic medical image classification and retrieval - The experiences of OHSU at ImageCLEFmed.
Pattern Recognit. Lett., 2008
Proceedings of the eHealth Beyond the Horizon, 2008
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008
Survival Prediction Models for Estimating the Benefit of Post-Operative Radiation Therapy for Gallbladder Cancer and Lung Cancer.
Proceedings of the AMIA 2008, 2008
2007
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval.
Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007
2006
Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006