Praveer Singh

发表

Unsupervised Representation Learning by Predicting Image Rotations pdf

Nikos Komodakis, Spyros Gidaris, Praveer Singh, 2018, ICLR.

N. Komodakis, Praveer Singh, 2018 .

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks

Jayashree Kalpathy-Cramer, Mishka Gidwani, Ken Chang, 2020, Radiology. Artificial intelligence.

CLOUD-GAN : CLOUD REMOVAL FOR SENTINEL-2 IMAGERY USING GENERATIVE ADVERSARIAL NETWORKS

N. Komodakis, Praveer Singh, 2018 .

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, npj Digital Medicine.

Federated Learning for Breast Density Classification: A Real-World Implementation pdf

Daguang Xu, Jesse Tetreault, Ahmed Harouni, 2020, DART/DCL@MICCAI.

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations pdf

James M. Brown, Michael F. Chiang, Jayashree Kalpathy-Cramer, 2021, ArXiv.

Applications of Arti ﬁ cial Intelligence for Retinopathy of Prematurity Screening

James M. Brown, Travis K. Redd, Praveer Singh, 2022 .

Deploying clinical machine learning? Consider the following pdf

Jayashree Kalpathy-Cramer, Sujay Kakarmath, Christopher Bridge, 2021, ArXiv.

SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging pdf

Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh, 2021, IEEE journal of biomedical and health informatics.

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, NPJ digital medicine.

External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations.

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, JAMA ophthalmology.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results

Bjoern H Menze, Minh H. Vu, Nisarg A. Shah, 2021, The journal of machine learning for biomedical imaging.

Three Applications of Conformal Prediction for Rating Breast Density in Mammography

Praveer Singh, Jayashree Kalpathy-Cramer, Ken Chang, 2022, ArXiv.

Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma.

James M. Brown, Andrew L Beers, Praveer Singh, 2021, Radiology. Artificial intelligence.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks

Praveer Singh, B. Rosen, Jayashree Kalpathy-Cramer, 2020, BrainLes@MICCAI.

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, Medicine.

Three Applications of Conformal Prediction for Rating Breast Density in Mammography

Praveer Singh, Jayashree Kalpathy-Cramer, Ken Chang, 2022, ArXiv.

Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.

Praveer Singh, Jayashree Kalpathy-Cramer, C. Fuller, 2022, Radiology.

Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Ophthalmology. Retina.

Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks

Nikos Komodakis, Praveer Singh, N. Komodakis, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Autonomous robotic system for tunnel structural inspection and assessment

Nikos Komodakis, Angelos Amditis, Carlos Balaguer, 2018, International Journal of Intelligent Robotics and Applications.

Traitement d'images à haute résolution grâce à des techniques d'apprentissage en profondeur. (Processing high-resolution images through deep learning techniques)

Praveer Singh, Praveer Singh, 2018 .

Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Ophthalmology science.

Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, Ophthalmology science.

Deep Tone Mapping Operator for High Dynamic Range Images

Nikos Komodakis, Giuseppe Valenzise, Aakanksha Rana, 2019, IEEE Transactions on Image Processing.

Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction

Praveer Singh, Jayashree Kalpathy-Cramer, Charles Lu, 2022, ArXiv.

Epidemiologic evaluation of retinopathy of prematurity severity in a large telemedicine program in India using artificial intelligence.

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2023, Ophthalmology.

Federated Learning for Breast Density Classification: A Real-World Implementation

Colin B. Compas, Richard D. White, Mona G. Flores, 2020, DART/DCL@MICCAI.

Assessing the validity of saliency maps for abnormality localization in medical imaging pdf

Ken Chang, Jayashree Kalpathy-Cramer, Mishka Gidwani, 2020, ArXiv.

Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.

Praveer Singh, Jayashree Kalpathy-Cramer, C. Cheung, 2022, Ophthalmology.

Efficacy of Smartphone-Based Telescreening for Retinopathy of Prematurity With and Without Artificial Intelligence in India.

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2023, JAMA ophthalmology.

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.

Ken Chang, Jayashree Kalpathy-Cramer, Laura Brink, 2020, Journal of the American College of Radiology : JACR.

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, Ophthalmology science.

Addressing catastrophic forgetting for medical domain expansion pdf

Daniel L. Rubin, Jayashree Kalpathy-Cramer, Mishka Gidwani, 2021, ArXiv.

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

James M. Brown, Matthew D. Li, Deniz Erdoğmuş, 2020, npj Digital Medicine.

Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Pediatrics.

Federated learning for multi-center collaboration in ophthalmology: improving classification performance in retinopathy of prematurity.

James M. Brown, Aaron S. Coyner, Praveer Singh, 2022, Ophthalmology Retina.

SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging

Praveer Singh, Jayashree Kalpathy-Cramer, D. Rubin, 2021, IEEE Journal of Biomedical and Health Informatics.

Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling

Ivan Ho Mien, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, DeCaF/FAIR@MICCAI.

Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images.

James M. Brown, Aaron S. Coyner, Praveer Singh, 2023, JAMA ophthalmology.

Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data.

Praveer Singh, Jayashree Kalpathy-Cramer, Charles Lu, 2023, Radiographics : a review publication of the Radiological Society of North America, Inc.

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions pdf

Jayashree Kalpathy-Cramer, Daniel L Rubin, Mishka Gidwani, 2020, ArXiv.

Privacy-preserving collaborative deep learning methods for multiinstitutional training without sharing patient data

Ramesh Raskar, Praneeth Vepakomma, Daniel L. Rubin, 2021 .

Federated learning for multi-center collaboration in ophthalmology: implications for clinical diagnosis and disease epidemiology.

James M. Brown, Aaron S. Coyner, Stratis Ioannidis, 2022, Ophthalmology Retina.

Towards Trainable Saliency Maps in Medical Imaging pdf

Jayashree Kalpathy-Cramer, Bryan Chen, Mishka Gidwani, 2020, ArXiv.

Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy

Praveer Singh, A. Giobbie-Hurder, Jayashree Kalpathy-Cramer, 2023, bioRxiv.

Unsupervised Representation Learning by Predicting Image Rotations

Spyros Gidaris, N. Komodakis, Praveer Singh, 2018, ICLR.

Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask

Nikos Komodakis, Praveer Singh, N. Komodakis, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences

Josiane Zerubia, Zoltan Kato, Praveer Singh, 2014, 2014 22nd International Conference on Pattern Recognition.

Artificial Intelligence and Glaucoma: Going Back to Basics

Praveer Singh, Jayashree Kalpathy-Cramer, M. Kahook, 2023, Clinical Ophthalmology.

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Radiology. Artificial intelligence.

Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2023, Ophthalmology science.

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity

Aaron S. Coyner, Praveer Singh, Jayashree Kalpathy-Cramer, 2020, AMIA.

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging

Praveer Singh, Jayashree Kalpathy-Cramer, P. Brastianos, 2023, MLHC.

Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives.

Praveer Singh, Jayashree Kalpathy-Cramer, L. Zangwill, 2024, Ophthalmology. Glaucoma.

Privacy preservation for federated learning in health care

Micah J. Sheller, Praveer Singh, S. Bakas, 2024, Patterns.