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Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning.

P. Rajpurkar, V. Polamreddi, and A. Balakrishnan. CoRR, (2017)

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Pranav Tendulkar

Pranav Oberoi

Pranav Patel

Pranav Sinha

Pranav Sinha-von Jaschke

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Benchmarking saliency methods for chest X-ray interpretation.A. Saporta, X. Gui, A. Agrawal, A. Pareek, S. Truong, C. Nguyen, V. Ngo, J. Seekins, F. Blankenberg, A. Ng and 2 other author(s). Nat. Mac. Intell., 4 (10): 867-878 (October 2022)BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.K. Wantlin, C. Wu, S. Huang, O. Banerjee, F. Dadabhoy, V. Mehta, R. Han, F. Cao, R. Narayan, E. Colak and 5 other author(s). CoRR, (2023)Automated coronary calcium scoring using deep learning with multicenter external validation.D. Eng, C. Chute, N. Khandwala, P. Rajpurkar, J. Long, S. Shleifer, M. Khalaf, A. Sandhu, F. Rodriguez, D. Maron and 14 other author(s). npj Digit. Medicine, (2021)PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.S. Huang, T. Kothari, I. Banerjee, C. Chute, R. Ball, N. Borus, A. Huang, B. Patel, P. Rajpurkar, J. Irvin and 7 other author(s). npj Digit. Medicine, (2020)Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia.J. Braatz, P. Rajpurkar, S. Zhang, A. Ng, and J. Shen. CoRR, (2022)Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation.J. Jeong, K. Tian, A. Li, S. Hartung, S. Adithan, F. Behzadi, J. Calle, D. Osayande, M. Pohlen, and P. Rajpurkar. MIDL, volume 227 of Proceedings of Machine Learning Research, page 978-990. PMLR, (2023)Video pretraining advances 3D deep learning on chest CT tasks.A. Ke, S. Huang, C. O'Connell, M. Klimont, S. Yeung, and P. Rajpurkar. MIDL, volume 227 of Proceedings of Machine Learning Research, page 758-774. PMLR, (2023)CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays.E. Chen, A. Kim, R. Krishnan, J. Long, A. Ng, and P. Rajpurkar. 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.N. Phillips, P. Rajpurkar, M. Sabini, R. Krishnan, S. Zhou, A. Pareek, N. Phu, C. Wang, M. Jain, D. Duong and 3 other author(s). ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 318-327. PMLR, (2020)Med-Flamingo: a Multimodal Medical Few-shot Learner.M. Moor, Q. Huang, S. Wu, M. Yasunaga, Y. Dalmia, J. Leskovec, C. Zakka, E. Reis, and P. Rajpurkar. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 353-367. PMLR, (2023)

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Disambiguation of "Rajpurkar, Pranav"

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Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning.

Please choose a person to relate this publication to

Pranav Tendulkar

Pranav Oberoi

Pranav Patel

Pranav Sinha

Pranav Sinha-von Jaschke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rajpurkar, Pranav"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning.

Please choose a person to relate this publication to

Pranav Tendulkar

Pranav Oberoi

Pranav Patel

Pranav Sinha

Pranav Sinha-von Jaschke

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
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Chicago
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Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning.