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Disambiguation of "Rajpurkar, Pranav"

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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

, , , , , , , , , , , , , , , , , , , and . AAAI, page 590-597. AAAI Press, (2019)

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Pranav Tendulkar

Pranav Oberoi

Pranav Patel

Pranav Sinha

Pranav Sinha-von Jaschke

 

Other publications of authors with the same name

Automated coronary calcium scoring using deep learning with multicenter external validation., , , , , , , , , and 14 other author(s). npj Digit. Medicine, (2021)Video pretraining advances 3D deep learning on chest CT tasks., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 758-774. PMLR, (2023)Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation., , , , , , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 978-990. PMLR, (2023)Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , and . EMNLP (1), page 1500-1519. Association for Computational Linguistics, (2020)Med-Flamingo: a Multimodal Medical Few-shot Learner., , , , , , , , and . ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 353-367. PMLR, (2023)CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays., , , , , and . MLHC, volume 149 of Proceedings of Machine Learning Research, page 103-125. PMLR, (2021)CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness., , , , , , , , , and 3 other author(s). ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 318-327. PMLR, (2020)Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging., , , , , , , , , and 7 other author(s). npj Digit. Medicine, (2020)CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings., , , , and . CHIL, page 125-132. ACM, (2021)CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation., , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 190-204. PMLR, (2021)