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Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias

Nature communications, 2024-08, Vol.15 (1), p.7465-11, Article 7465

Lotter, William

2024

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Conditional Infilling GANs for Data Augmentation in Mammogram Classification

Image Analysis for Moving Organ, Breast, and Thoracic Images, p.98-106

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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

Nature medicine, 2021-02, Vol.27 (2), p.244-249

2021

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A neural network trained for prediction mimics diverse features of biological neurons and perception

Nature machine intelligence, 2020-04, Vol.2 (4), p.210-219

2020

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Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models

JCO clinical cancer informatics, 2024-05, Vol.8 (8), p.e2300269

2024

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Toward More Accurate Preoperative Diagnosis of Vein Wall Invasion in Renal Cell Carcinoma Using Computer Vision

The oncologist (Dayton, Ohio), 2024-02, Vol.29 (2), p.99-99

2024

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The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation

NPJ digital medicine, 2024-03, Vol.7 (1), p.80-80, Article 80

2024

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1241 Clusters of multi-organ toxicities are associated with improved survival among immune checkpoint inhibitor recipients: a population-level study

Journal for immunotherapy of cancer, 2023-11, Vol.11 (Suppl 1), p.A1369-A1371

2023

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218 Prospective spatial immune cell profiling identifies features of the tumor-immune microenvironment associated with genomic alterations and patient survival in a 2,023 patient pan-cancer cohort

Journal for immunotherapy of cancer, 2023-11, Vol.11 (Suppl 1), p.A249-A249

2023

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A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.169-177

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Recurrent computations for visual pattern completion

Proceedings of the National Academy of Sciences - PNAS, 2018-08, Vol.115 (35), p.8835-8840

2018

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Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms

Journal of medical screening, 2024-08

2024

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Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

Cancer discovery, 2024-05, Vol.14 (5), p.711-726

2024

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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection

EBioMedicine, 2023-04, Vol.90, p.104498-104498, Article 104498

2023

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Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study

The lancet oncology, 2024-08, Vol.25 (8), p.1053-1069

2024

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Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation

Journal of the American College of Radiology, 2022-10, Vol.19 (10), p.1098-1110

2022

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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detectionResearch in context

EBioMedicine, 2023-04, Vol.90, p.104498

2023

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Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection

BMJ open, 2022-01, Vol.12 (1), p.e054005-e054005

2022

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Task dependent modulation before, during and after visually evoked responses in human intracranial recordings

Journal of vision (Charlottesville, Va.), 2017-08, Vol.17 (10), p.983

2017

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Abstract 6189: Deep-learning model trained on multiplex immunofluorescence-stained tissue samples predicts the survival of patients with non-small cell lung cancer better than PD-L1 TPS alone

Cancer research (Chicago, Ill.), 2024-03, Vol.84 (6_Supplement), p.6189-6189

2024

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Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists

Radiology. Artificial intelligence, 2024-03, Vol.6 (2), p.e230137

2024

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External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence

JAMA network open, 2022-11, Vol.5 (11), p.e2242343-e2242343

2022

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Abstract 5706: ImmunoPROFILE: A prospective implementation of clinically validated, quantitative immune cell profiling test identifies tumor-infiltrating CD8+ and PD-1+ cell densities as prognostic biomarkers across a 2,023 patient pan-cancer cohort treated with different therapies

Cancer research (Chicago, Ill.), 2023-04, Vol.83 (7_Supplement), p.5706-5706

2023

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Prediction as a Rule for Unsupervised Learning in Deep Neural Networks

Lotter, William E

2017

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9000 years of geochemical evolution of lithogenic major and trace elements in the sediment of an alpine lake - the role of climate, vegetation, and land-use history

Journal of paleolimnology, 2003-10, Vol.30 (3), p.307-320

2003

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Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias

Conditional Infilling GANs for Data Augmentation in Mammogram Classification

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

A neural network trained for prediction mimics diverse features of biological neurons and perception

Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models

Toward More Accurate Preoperative Diagnosis of Vein Wall Invasion in Renal Cell Carcinoma Using Computer Vision

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation

1241 Clusters of multi-organ toxicities are associated with improved survival among immune checkpoint inhibitor recipients: a population-level study

218 Prospective spatial immune cell profiling identifies features of the tumor-immune microenvironment associated with genomic alterations and patient survival in a 2,023 patient pan-cancer cohort

A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification

Recurrent computations for visual pattern completion

Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection

Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study

Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation

Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detectionResearch in context

Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection

Task dependent modulation before, during and after visually evoked responses in human intracranial recordings

Abstract 6189: Deep-learning model trained on multiplex immunofluorescence-stained tissue samples predicts the survival of patients with non-small cell lung cancer better than PD-L1 TPS alone

Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists

External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence

Abstract 5706: ImmunoPROFILE: A prospective implementation of clinically validated, quantitative immune cell profiling test identifies tumor-infiltrating CD8+ and PD-1+ cell densities as prognostic biomarkers across a 2,023 patient pan-cancer cohort treated with different therapies

Prediction as a Rule for Unsupervised Learning in Deep Neural Networks

9000 years of geochemical evolution of lithogenic major and trace elements in the sediment of an alpine lake - the role of climate, vegetation, and land-use history

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