Lista de obras - Regina Barzilay - Dominio Público Uruguay

A Deep Learning Approach to Antibiotic Discovery

scientific article published on 01 February 2020

A Deep Learning Approach to Antibiotic Discovery

scientific article published on 01 April 2020

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

scientific article published on 07 May 2019

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

artículo científico publicado en 2019

A Graph-Convolutional Neural Network Model for the Prediction of Chemical Reactivity

scholarly article published 4 October 2018

A graph-convolutional neural network model for the prediction of chemical reactivity.

artículo científico publicado en 2018

Analyzing Learned Molecular Representations for Property Prediction

artículo científico publicado en 2019

Analyzing Learned Molecular Representations for Property Prediction

artículo científico publicado en 2019

Applications of Deep Learning in Molecule Generation and Molecular Property Prediction

artículo científico publicado en 2020

Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?

scientific article published on 21 January 2019

Automatic Fact-guided Sentence Modification ⬇️

artículo científico publicado en 2019

Automatic analysis of medical dialogue in the home hemodialysis domain: structure induction and summarization

artículo científico

Automatic processing of spoken dialogue in the home hemodialysis domain.

artículo científico publicado en 2005

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

artículo científico publicado en 2023

Bootstrapping lexical choice via multiple-sequence alignment

article published in 2002

Can machine learning improve patient selection for cardiac resynchronization therapy?

scientific article published on 03 October 2019

Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

artículo científico publicado en 2017

Correction to Analyzing Learned Molecular Representations for Property Prediction

artículo científico publicado en 2019

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

scientific article published on 03 April 2020

Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone

scientific article published on 01 April 2019

Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade

scientific article published on 21 September 2020

Do Neural Information Extraction Algorithms Generalize Across Institutions?

artículo científico publicado en 2019

Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports

artículo científico publicado en 2020

Finding temporal order in discharge summaries

artículo científico publicado en 2006

Generative Models for Graph-Based Protein Design ⬇️

artículo científico publicado en 2019

Investigating Resuscitation Code Assignment in the Intensive Care Unit using Structured and Unstructured Data

artículo científico publicado en 2010

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms from Electronic Health Records

artículo científico publicado en 2018

Machine learning to parse breast pathology reports in Chinese

artículo científico publicado en 2018

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

artículo científico publicado en 2018

Multi-Resolution Autoregressive Graph-to-Graph Translation for Molecules

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B ⬇️

Path-Augmented Graph Transformer Network

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network ⬇️

artículo científico publicado en 2017

Prediction of Organic Reaction Outcomes Using Machine Learning

artículo científico publicado en 2017

Style Transfer from Non-Parallel Text by Cross-Alignment ⬇️

artículo científico publicado en 2017

Uncertainty Quantification using Neural Networks for Molecular Property Prediction

scientific article published on 23 July 2020

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

scientific article published on 01 September 2019

Using machine learning to parse breast pathology reports

artículo científico publicado en 2016

Using natural language processing to assess palliative care processes in cancer patients receiving venting gastrostomy tube

article by Charlotta Lindvall et al published November 2017 in Journal of Clinical Oncology

Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance

artículo científico publicado en 2019

Lista de obras de Regina Barzilay

A Deep Learning Approach to Antibiotic Discovery

A Deep Learning Approach to Antibiotic Discovery

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

A Graph-Convolutional Neural Network Model for the Prediction of Chemical Reactivity

A graph-convolutional neural network model for the prediction of chemical reactivity.

Analyzing Learned Molecular Representations for Property Prediction

Analyzing Learned Molecular Representations for Property Prediction

Applications of Deep Learning in Molecule Generation and Molecular Property Prediction

Atypical ductal hyperplasia in men with gynecomastia: what is their breast cancer risk?

Automatic Fact-guided Sentence Modification ⬇️

Automatic analysis of medical dialogue in the home hemodialysis domain: structure induction and summarization

Automatic processing of spoken dialogue in the home hemodialysis domain.

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

Bootstrapping lexical choice via multiple-sequence alignment

Can machine learning improve patient selection for cardiac resynchronization therapy?

Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

Correction to Analyzing Learned Molecular Representations for Property Prediction

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone

Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade

Do Neural Information Extraction Algorithms Generalize Across Institutions?

Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports

Finding temporal order in discharge summaries

Generative Models for Graph-Based Protein Design ⬇️

Investigating Resuscitation Code Assignment in the Intensive Care Unit using Structured and Unstructured Data

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms from Electronic Health Records

Machine learning to parse breast pathology reports in Chinese

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

Multi-Resolution Autoregressive Graph-to-Graph Translation for Molecules

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B ⬇️

Path-Augmented Graph Transformer Network

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network ⬇️

Prediction of Organic Reaction Outcomes Using Machine Learning

Style Transfer from Non-Parallel Text by Cross-Alignment ⬇️

Uncertainty Quantification using Neural Networks for Molecular Property Prediction

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

Using machine learning to parse breast pathology reports

Using natural language processing to assess palliative care processes in cancer patients receiving venting gastrostomy tube

Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance