Corey W. Arnold

Orcid: 0000-0002-4119-8143

According to our database1, Corey W. Arnold authored at least 78 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images.
Comput. Biol. Medicine, March, 2024

Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training.
CoRR, 2024

Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model.
CoRR, 2024

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning.
CoRR, 2024

High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training.
CoRR, 2024

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-site, Multi-domain Airway Tree Modeling.
Medical Image Anal., December, 2023

Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets.
IEEE Trans. Biomed. Eng., February, 2023

Ultrasound Image Enhancement using CycleGAN and Perceptual Loss.
CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models.
CoRR, 2023

Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pretrained Transformers for Seizure Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
PathAL: An Active Learning Framework for Histopathology Image Analysis.
IEEE Trans. Medical Imaging, 2022

Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment.
IEEE J. Biomed. Health Informatics, 2022

High resolution histopathology image generation and segmentation through adversarial training.
Medical Image Anal., 2022

Medicine in the <i>Monthly Review</i>: Revealing public medical discourse with topic modelling.
Digit. Scholarsh. Humanit., 2022

Knowledge Source Rankings for Semi-Supervised Topic Modeling.
Inf., 2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.
CoRR, 2022

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications.
CoRR, 2022

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer Lesion Tracker.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Bayesian Topic Model for Human-Evaluated Interpretability.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021
Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression.
IEEE J. Biomed. Health Informatics, 2021

HCET: Hierarchical Clinical Embedding With Topic Modeling on Electronic Health Records for Predicting Future Depression.
IEEE J. Biomed. Health Informatics, 2021

Federated learning improves site performance in multicenter deep learning without data sharing.
J. Am. Medical Informatics Assoc., 2021

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.
Comput. Medical Imaging Graph., 2021

A multi-resolution model for histopathology image classification and localization with multiple instance learning.
Comput. Biol. Medicine, 2021

Hierarchical Graph Pathomic Network for Progression Free Survival Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Biased Coin Flip Process for Nonparametric Topic Modeling.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Automatic Estimation of Limbal Stem Cell Densities in Cultured Epithelial Cell Microscopy Imaging.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data.
IEEE J. Biomed. Health Informatics, 2020

Semi-supervised learning using adversarial training with good and bad samples.
Mach. Vis. Appl., 2020

Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression.
CoRR, 2020

Attention-Guided Discriminative Region Localization for Bone Age Assessment.
CoRR, 2020

Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing.
Bioinform., 2020

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Maintaining High Accuracy General P300 Speller Using the Language Modeling and Dynamic Stopping.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Optimizing P300 speller performance using language models for character and word prediction.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.
IEEE Trans. Medical Imaging, 2019

A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.
IEEE Trans. Medical Imaging, 2019

A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers.
npj Digit. Medicine, 2019

An attention-based multi-resolution model for prostate whole slide imageclassification and localization.
CoRR, 2019

LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

A Self-Paced P300 speller with Improved Typing Speed using continuous stimulus Presentations.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackers.
J. Am. Medical Informatics Assoc., 2018

Semi-supervised Rare Disease Detection Using Generative Adversarial Network.
CoRR, 2018

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.
Comput. Medical Imaging Graph., 2018

Semantic segmentation for prostate cancer grading by convolutional neural networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Estimating Health-related Quality of Life of Twitter Users: Methods for Semantic Processing of Social Media Posts.
Proceedings of the AMIA 2018, 2018

Predicting Patient Health Status using Activity Tracker Data.
Proceedings of the AMIA 2018, 2018

2017
Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.
Proceedings of the AMIA 2017, 2017

Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features.
Proceedings of the AMIA 2017, 2017

2016
Using phrases and document metadata to improve topic modeling of clinical reports.
J. Biomed. Informatics, 2016

A data-driven approach for quality assessment of radiologic interpretations.
J. Am. Medical Informatics Assoc., 2016

Evaluating topic model interpretability from a primary care physician perspective.
Comput. Methods Programs Biomed., 2016

A temporal deep learning approach for MR perfusion parameter estimation in stroke.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Patient portal preferences: Perspectives on imaging information.
J. Assoc. Inf. Sci. Technol., 2015

2014
Data Model for Personalized Patient Health Guidelines: An Exploratory Study.
Proceedings of the AMIA 2014, 2014

Predicting Discharge Mortality after Acute Ischemic Stroke Using Balanced Data.
Proceedings of the AMIA 2014, 2014

2013
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics.
J. Am. Medical Informatics Assoc., 2013

Research and applications: Imaging informatics for consumer health: towards a radiology patient portal.
J. Am. Medical Informatics Assoc., 2013

Hierarchical Semantic Structures for Medical NLP.
Proceedings of the MEDINFO 2013, 2013

Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network.
Proceedings of the MEDINFO 2013, 2013

Integrating UIMA Annotators in a Web-based Text Processing Framework.
Proceedings of the MEDINFO 2013, 2013

BabySTEPS: A Sugar Tracking Electronic Portal System for Gestational Diabetes.
Proceedings of the MEDINFO 2013, 2013

2012
A topic model of clinical reports.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Robust Skull Stripping of Clinical Glioblastoma Multiforme Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
A neuro-oncology workstation for structuring, modeling, and visualizing patient records.
Proceedings of the ACM International Health Informatics Symposium, 2010


  Loading...