Andrew Y. Ng

发表

330 DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS

Pranav Rajpurkar, Ethan A. Chi, Sidhartha R. Sinha, 2021 .

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports pdf

Matthew P. Lungren, Pranav Rajpurkar, Pierre Chambon, 2021, NeurIPS Datasets and Benchmarks.

GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment

Damir Vrabac, Sebastian Fernandez-Pol, Pranav Rajpurkar, 2021, MICCAI.

Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays

Pranav Rajpurkar, Siyu Shi, Ishaan Malhi, 2021, MIDL.

Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management pdf

Pranav Rajpurkar, Andrew Y. Ng, Adriel Saporta, 2021, NeurIPS Datasets and Benchmarks.

3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations pdf

Geoffrey H. Tison, Pranav Rajpurkar, Gautham Raghupathi, 2021, ML4H@NeurIPS.

Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia pdf

Pranav Rajpurkar, Jon Braatz, Andrew Y. Ng, 2022, ArXiv.

Contrastive learning of heart and lung sounds for label-efficient diagnosis

Andrew Y. Ng, Pratham N. Soni, P. Rajpurkar, 2021, Patterns.

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model

Andrew Y. Ng, P. Rajpurkar, Rayan Krishnan, 2021, ML4H@NeurIPS.

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV.

Andrew Y. Ng, P. Rajpurkar, A. Kiani, 2020, NPJ digital medicine.

Benchmarking saliency methods for chest X-ray interpretation

Andrew Y. Ng, P. Rajpurkar, M. Lungren, 2022, Nature Machine Intelligence.