Gregory S. Corrado

Orcid: 0000-0001-8817-0992

Affiliations:
  • Google, Inc.
  • Stanford University, Department of Neurobiology


According to our database1, Gregory S. Corrado authored at least 72 papers between 2009 and 2024.

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Bibliography

2024
PathAlign: A vision-language model for whole slide images in histopathology.
CoRR, 2024

Towards a Personal Health Large Language Model.
CoRR, 2024

Advancing Multimodal Medical Capabilities of Gemini.
CoRR, 2024

Capabilities of Gemini Models in Medicine.
CoRR, 2024

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.
CoRR, 2024

HeAR - Health Acoustic Representations.
CoRR, 2024

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset.
CoRR, 2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.
CoRR, 2024

Towards Conversational Diagnostic AI.
CoRR, 2024

Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Towards Accurate Differential Diagnosis with Large Language Models.
CoRR, 2023

Domain-specific optimization and diverse evaluation of self-supervised models for histopathology.
CoRR, 2023

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.
CoRR, 2023

Towards Generalist Biomedical AI.
CoRR, 2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology.
CoRR, 2023

Using generative AI to investigate medical imagery models and datasets.
CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.
CoRR, 2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.
CoRR, 2023

Multimodal LLMs for Health Grounded in Individual-Specific Data.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2022
Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.
Medical Image Anal., 2022

Large Language Models Encode Clinical Knowledge.
CoRR, 2022

Discovering novel systemic biomarkers in photos of the external eye.
CoRR, 2022

Robust and Efficient Medical Imaging with Self-Supervision.
CoRR, 2022

AI system for fetal ultrasound in low-resource settings.
CoRR, 2022

2021
Interpretable survival prediction for colorectal cancer using deep learning.
npj Digit. Medicine, 2021

Vaccine Search Patterns Provide Insights into Vaccination Intent.
CoRR, 2021

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries.
CoRR, 2021

2020
Detecting Deficient Coverage in Colonoscopies.
IEEE Trans. Medical Imaging, 2020

Customization scenarios for de-identification of clinical notes.
BMC Medical Informatics Decis. Mak., 2020

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading.
CoRR, 2020

Detecting hidden signs of diabetes in external eye photographs.
CoRR, 2020

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.
CoRR, 2020

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning.
CoRR, 2020

Scientific Discovery by Generating Counterfactuals using Image Translation.
CoRR, 2020

Scientific Discovery by Generating Counterfactuals Using Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Explaining an increase in predicted risk for clinical alerts.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
npj Digit. Medicine, 2019

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
npj Digit. Medicine, 2019

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.
npj Digit. Medicine, 2019

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.
npj Digit. Medicine, 2019

Similar image search for histopathology: SMILY.
npj Digit. Medicine, 2019

A deep learning system for differential diagnosis of skin diseases.
CoRR, 2019

Detecting Anemia from Retinal Fundus Images.
CoRR, 2019

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning.
CoRR, 2019

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort.
CoRR, 2019

TensorFlow.js: Machine Learning For The Web and Beyond.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Scalable and accurate deep learning with electronic health records.
npj Digit. Medicine, 2018

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.
CoRR, 2018

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration.
CoRR, 2018

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.
CoRR, 2018

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program.
CoRR, 2018

Scalable and accurate deep learning for electronic health records.
CoRR, 2018

2017
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation.
Trans. Assoc. Comput. Linguistics, 2017

Deep learning for predicting refractive error from retinal fundus images.
CoRR, 2017

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy.
CoRR, 2017

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning.
CoRR, 2017

Detecting Cancer Metastases on Gigapixel Pathology Images.
CoRR, 2017

2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016

Wide & Deep Learning for Recommender Systems.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Smart Reply: Automated Response Suggestion for Email.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings.
Proceedings of the 2nd International Conference on Learning Representations, 2014

2013
Nanoscale electronic synapses using phase change devices.
ACM J. Emerg. Technol. Comput. Syst., 2013

Efficient Estimation of Word Representations in Vector Space
Proceedings of the 1st International Conference on Learning Representations, 2013

Distributed Representations of Words and Phrases and their Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

DeViSE: A Deep Visual-Semantic Embedding Model.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Large Scale Distributed Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Building high-level features using large scale unsupervised learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Three Controversial Hypotheses Concerning Computation in the Primate Cortex.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2009
Recursive Sparse, Spatiotemporal Coding.
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009


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