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Augmented reality microscopes for cancer histopathology

Nature medicine, 2019-09, Vol.25 (9), p.1334-1336

Razavian, Narges

2019

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Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning

Nature medicine, 2018-10, Vol.24 (10), p.1559-1567

2018

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

NPJ digital medicine, 2021-05, Vol.4 (1), p.80-80, Article 80

2021

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Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Scientific reports, 2022-10, Vol.12 (1), p.17106-17106, Article 17106

2022

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Predicting childhood obesity using electronic health records and publicly available data

PloS one, 2019-04, Vol.14 (4), p.e0215571-e0215571

2019

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S3 Identification of Patients at Risk for Pancreatic Cancer in a 3-Year Timeframe Based on Machine Learning Algorithms in the Electronic Health Record

The American journal of gastroenterology, 2021-10, Vol.116 (1), p.S2-S2

2021

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Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models

Cell reports. Medicine, 2021-09, Vol.2 (9), p.100400, Article 100400

2021

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Author Correction: Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Scientific reports, 2023-10, Vol.13 (1), p.16528-16528, Article 16528

2023

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On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body disease

Frontiers in aging neuroscience, 2023-03, Vol.15, p.1149036-1149036

2023

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A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients

NPJ digital medicine, 2020-10, Vol.3 (1), p.130-130, Article 130

2020

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Correction: Predicting childhood obesity using electronic health records and publicly available data

PloS one, 2019-10, Vol.14 (10), p.e0223796-e0223796

2019

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Learning generative models of molecular dynamics

BMC genomics, 2012-01, Vol.13 Suppl 1 (Suppl 1), p.S5-S5, Article S5

2012

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Association of Psychiatric Disorders With Mortality Among Patients With COVID-19

JAMA psychiatry (Chicago, Ill.), 2021-04, Vol.78 (4), p.380

2021

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On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body disease

Alzheimer's & dementia, 2021-12, Vol.17 (S10), p.n/a

2021

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779: MACHINE LEARNING ALGORITHM IDENTIFIES PATIENTS AT RISK FOR PANCREATIC CANCER IN A 3-YEAR TIMEFRAME

Gastroenterology (New York, N.Y. 1943), 2022-05, Vol.162 (7), p.S-188-S-188

2022

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Deep multi-task learning and random forest for series classification by pulse sequence type and orientation

Neuroradiology, 2023-01, Vol.65 (1), p.77-87

2023

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Medication utilization among vascular dementia population

Alzheimer's & dementia, 2021-12, Vol.17 (S8), p.e054527-n/a

2021

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Association of anxiety with vascular risk factors in memory clinic patients with MCI and Alzheimer’s dementia

Alzheimer's & dementia, 2021-12, Vol.17 (S6), p.n/a

2021

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Artificial intelligence and deep learning to map immune cell types in inflamed human tissue

Journal of immunological methods, 2022-06, Vol.505, p.113233-113233, Article 113233

2022

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Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas

Journal of investigative dermatology, 2022-06, Vol.142 (6), p.1650-1658.e6

2022

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Abstract 5309: Determining EGFR and STK11 mutational status in lung adenocarcinoma histopathology images using deep learning

Cancer research (Chicago, Ill.), 2018-07, Vol.78 (13_Supplement), p.5309-5309

2018

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Artificial intelligence and cancer

Nature cancer, 2020-02, Vol.1 (2), p.149

2020

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.3355-3365

2023

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IEEE_Xplore

Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study

Heterogeneous Data Management, Polystores, and Analytics for Healthcare, p.141-150

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Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial

Applied clinical informatics, 2022-05, Vol.13 (3), p.632-640

2022

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Augmented reality microscopes for cancer histopathology

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

Predicting childhood obesity using electronic health records and publicly available data

S3 Identification of Patients at Risk for Pancreatic Cancer in a 3-Year Timeframe Based on Machine Learning Algorithms in the Electronic Health Record

Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models

Author Correction: Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs

On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body disease

A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients

Correction: Predicting childhood obesity using electronic health records and publicly available data

Learning generative models of molecular dynamics

Association of Psychiatric Disorders With Mortality Among Patients With COVID-19

On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body disease

779: MACHINE LEARNING ALGORITHM IDENTIFIES PATIENTS AT RISK FOR PANCREATIC CANCER IN A 3-YEAR TIMEFRAME

Deep multi-task learning and random forest for series classification by pulse sequence type and orientation

Medication utilization among vascular dementia population

Association of anxiety with vascular risk factors in memory clinic patients with MCI and Alzheimer’s dementia

Artificial intelligence and deep learning to map immune cell types in inflamed human tissue

Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas

Abstract 5309: Determining EGFR and STK11 mutational status in lung adenocarcinoma histopathology images using deep learning

Artificial intelligence and cancer

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study

Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial

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