William Speier

Orcid: 0000-0002-0890-8684

According to our database1, William Speier authored at least 51 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

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

Design considerations for a hierarchical semantic compositional framework for medical natural language understanding.
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

Fully Automated Approaches for Localization of Intraoperative Electrocorticographic Electrodes.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 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

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

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
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

Translating neural signals to text using a Brain-Machine Interface.
CoRR, 2019

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

Using Sequential Decision Making to Improve Lung Cancer Screening Performance.
IEEE Access, 2019

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

Identifying Input Features for Development of Real-Time Translation of Neural Signals to Text.
Proceedings of the Interspeech 2019, 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

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

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

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

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

2015
Toward real-time communication using brain-computer interface systems.
PhD thesis, 2015

2014
Motivating the Additional Use of External Validity: Examining Transportability in a Model of Glioblastoma Multiforme.
Proceedings of the AMIA 2014, 2014

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

2012
Updating annotations with the distributed annotation system and the automated sequence annotation pipeline.
Bioinform., 2012

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

Automated Extraction of Reported Statistical Analyses: Towards a Logical Representation of Clinical Trial Literature.
Proceedings of the AMIA 2012, 2012

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


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