publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2023
- Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning ModelsarXiv preprint arXiv:2302.04143, 2023
- A Multitask Approach for Automated Detection and Segmentation of Thyroid Nodules in Ultrasound ImagesmedRxiv, 2023
- Institutional strategies to maintain and grow imaging research during the COVID-19 pandemicAcademic radiology, 2023
- Multi-site, Multi-domain Airway Tree Modeling (ATM’22): A Public Benchmark for Pulmonary Airway SegmentationarXiv preprint arXiv:2303.05745, 2023
- Federated learning with research prototypes: application to multi-center MRI-based detection of prostate cancer with diverse histopathologyAcademic Radiology, 2023
- Multi-site, Multi-domain Airway Tree Modeling (ATM’22): A Public Benchmark for Pulmonary Airway Segmentation (preprint)2023
- Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational StudyJMIR Formative Research, 2023
- Pretrained Transformers for Seizure DetectionIn ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
- Multi-site, Multi-domain Airway Tree Modeling2023
- SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data2023
2022
- Synthesizing MR image contrast enhancement using 3D high-resolution ConvNetsIEEE Transactions on Biomedical Engineering, 2022
- High resolution histopathology image generation and segmentation through adversarial trainingMedical Image Analysis, 2022
- Attention-guided prostate lesion localization and grade group classification with multiple instance learningIn International Conference on Medical Imaging with Deep Learning, 2022
- Electronic Health Record–Integrated Tumor Board Application to Save Preparation Time and Reduce ErrorsJCO Clinical Cancer Informatics, 2022
- Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeNature medicine, 2022
- Knowledge source rankings for semi-supervised topic modelingInformation, 2022
- Deep Learning Approaches to Identify Patients within the Thrombolytic Treatment WindowmedRxiv, 2022
- Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applicationsarXiv preprint arXiv:2202.08916, 2022
- RPLHR-CT dataset and transformer baseline for volumetric super-resolution from CT scansIn International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
- Transformer Lesion TrackerIn International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
- Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse HistopathologyarXiv preprint arXiv:2206.05617, 2022
- Comparing P300 flashing paradigms in online typing with language modelsmedRxiv, 2022
- A Bayesian Topic Model for Human-Evaluated InterpretabilityIn Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
- Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learningJournal of Neuroimaging, 2022
- MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell DeficiencyIn 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), 2022
- Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learningInterventional Neuroradiology, 2022
2021
- Attention-guided discriminative region localization and label distribution learning for bone age assessmentIEEE Journal of Biomedical and Health Informatics, 2021
- Classifying breast histopathology images with a ductal instance-oriented pipelineIn 2020 25th International Conference on Pattern Recognition (ICPR), 2021
- Multi-level embedding with topic modeling on electronic health records for predicting depressionExplainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability, 2021
- A multi-resolution model for histopathology image classification and localization with multiple instance learningComputers in biology and medicine, 2021
- Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset timeComputerized Medical Imaging and Graphics, 2021
- Federated learning improves site performance in multicenter deep learning without data sharingJournal of the American Medical Informatics Association, 2021
- Bidirectional representation learning from transformers using multimodal electronic health record data to predict depressionIEEE Journal of Biomedical and Health Informatics, 2021
- The Use of a Novel Digital Tumor Board Platform Reduces Pathologist Tumor Board Preparation Time and Enhances Clinician Satisfaction: the UCLA ExperienceIn LABORATORY INVESTIGATION, 2021
- Optimizing spatial biopsy sampling for the detection of prostate cancerThe Journal of urology, 2021
- On the Utility of Combining Topic Models and Recurrent Neural NetworksIn International Conference on Computing and Information Technology, 2021
- Harnessing clinical annotations to improve deep learning performance in prostate segmentationPlos one, 2021
- A machine learning approach to predict acute ischemic stroke thrombectomy reperfusion using discriminative mr image featuresIn 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
- The biased coin flip process for nonparametric topic modelingIn Document Analysis and Recognition–ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II 16, 2021
- Hierarchical graph pathomic network for progression free survival predictionIn Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VIII 24, 2021
- A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI AnalysisIn 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
- Pathal: An active learning framework for histopathology image analysisIEEE Transactions on Medical Imaging, 2021
- Automatic Estimation of Limbal Stem Cell Densities in Cultured Epithelial Cell Microscopy ImagingIn 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), 2021
2020
- Semi-supervised learning using adversarial training with good and bad samplesMachine Vision and Applications, 2020
- An electronic form for reporting results of targeted prostate biopsy: Urology Integrated Diagnostic Report (Uro-IDR)Urology, 2020
- Radiology’s information architecture could migrate to one emulating that of smartphonesJournal of the American College of Radiology, 2020
- HCET: hierarchical clinical embedding with topic modeling on electronic health records for predicting future depressionIEEE journal of biomedical and health informatics, 2020
- Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposingBioinformatics, 2020
- Integrating remote monitoring into heart failure patients’ care regimen: A pilot studyPloS one, 2020
- Biometric and psychometric remote monitoring and cardiovascular risk biomarkers in ischemic heart diseaseJournal of the American Heart Association, 2020
- Image-based patch selection for deep learning to improve automated Gleason grading in histopathological slidesbioRxiv, 2020
- Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression.CoRR, 2020
- Optimizing P300 speller performance using language models for character and word predictionIn 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020
- Semi-automated PIRADS scoring via mpMRI analysisJournal of Medical Imaging, 2020
2019
- Patient concerns and perceptions regarding biologic therapies in ankylosing spondylitis: insights from a Large-Scale survey of social media platformsArthritis care & research, 2019
- A machine learning approach for classifying ischemic stroke onset time from imagingIEEE transactions on medical imaging, 2019
- Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach.In CVPR Workshops, 2019
- Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion imagesJournal of Medical Imaging, 2019
- An attention-based multi-resolution model for prostate whole slide imageclassification and localizationarXiv preprint arXiv:1905.13208, 2019
- A machine learning approach to classifying self-reported health status in a cohort of patients with heart disease using activity tracker dataIEEE journal of biomedical and health informatics, 2019
- Estimating the health-related quality of life of twitter users using semantic processingStudies in health technology and informatics, 2019
- A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkersNPJ digital medicine, 2019
- LSTM network for prediction of hemorrhagic transformation in acute strokeIn Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV 22, 2019
- Assessment of heart failure patients’ interest in mobile health apps for self-care: survey studyJMIR cardio, 2019
- JMIR CardioJMIR, 2019
2018
- Improving P300 spelling rate using language models and predictive spellingBrain-Computer Interfaces, 2018
- Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackersJournal of the American Medical Informatics Association, 2018
- Semantic segmentation for prostate cancer grading by convolutional neural networksIn Medical Imaging 2018: Digital Pathology, 2018
- An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomiesComputerized Medical Imaging and Graphics, 2018
- Path R-CNN for prostate cancer diagnosis and gleason grading of histological imagesIEEE transactions on medical imaging, 2018
- Semi-supervised rare disease detection using generative adversarial networkarXiv preprint arXiv:1812.00547, 2018
- Predicting Patient Health Status using Activity Tracker DataIn AMIA, 2018
- Prediction of Clinically Significant Prostate Cancer in MR/Ultrasound Guided Fusion Biopsy using Multiparametric MRIIn Medical Imaging Meets NeurIPS Workshop, 2018
2017
- Source-LDA: Enhancing probabilistic topic models using prior knowledge sourcesIn 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017
- Patient Knowledge, Attitudes, and Beliefs Regarding Biologic Therapies in Ankylosing Spondylitis (AS): Insights from a Large-Scale Analysis of Social Media PlatformsIn ARTHRITIS & RHEUMATOLOGY, 2017
- Classifying acute ischemic stroke onset time using deep imaging featuresIn AMIA Annual Symposium Proceedings, 2017
- A multi-scale u-net for semantic segmentation of histological images from radical prostatectomiesIn AMIA Annual Symposium Proceedings, 2017
2016
- RadPath: A Web-based System for Integrating and Correlating Radiology and Pathology Findings During Cancer DiagnosisAcademic radiology, 2016
- Evaluating topic model interpretability from a primary care physician perspectiveComputer methods and programs in biomedicine, 2016
- A data-driven approach for quality assessment of radiologic interpretationsJournal of the American Medical Informatics Association, 2016
- Abstract WP41: Predicting acute ischemic stroke tissue fate using deep learning on source perfusion MRIStroke, 2016
- Using phrases and document metadata to improve topic modeling of clinical reportsJournal of Biomedical Informatics, 2016
- Integrating language models into classifiers for BCI communication: a reviewJournal of neural engineering, 2016
- Consumers’ patient portal preferences and health literacy: a survey using crowdsourcingJMIR research protocols, 2016
- A temporal deep learning approach for MR perfusion parameter estimation in strokeIn 2016 23rd International Conference on Pattern Recognition (ICPR), 2016
- Content Summaries of the Selected Best Papers for the IMIA Yearbook 2017 in the “Sensor, Signal, and Imaging Informatics” SectionAcad Radiol, 2016
2015
- Patient portal preferences: perspectives on imaging informationJournal of the Association for Information Science and Technology, 2015
- Imaging–Histologic Discordance at Percutaneous Biopsy of the LungAcademic radiology, 2015
- Incorporating advanced language models into the P300 speller using particle filteringJournal of neural engineering, 2015
- Balancing opioid-induced gastrointestinal side effects with pain management: Insights from the online community.Journal of opioid management, 2015
2014
- Integrating language information with a hidden Markov model to improve communication rate in the P300 spellerIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
- Data model for personalized patient health guidelines: an exploratory studyIn AMIA Annual Symposium Proceedings, 2014
- Predicting discharge mortality after acute ischemic stroke using balanced dataIn AMIA Annual Symposium Proceedings, 2014
- Managing Opioid-Induced Constipation: Perceptions and Misconceptions From the Online Community: 2218Official journal of the American College of Gastroenterology| ACG, 2014
2013
- Imaging informatics for consumer health: towards a radiology patient portalJournal of the American Medical Informatics Association, 2013
- Imaging-based observational databases for clinical problem solving: the role of informaticsJournal of the American Medical Informatics Association, 2013
- BabySTEPS: a sugar tracking electronic portal system for gestational diabetesIn MEDINFO 2013, 2013
- Unifying acute stroke treatment guidelines for a bayesian belief networkIn MEDINFO 2013, 2013
- Hierarchical semantic structures for medical NLP.Studies in Health Technology and Informatics, 2013
- Evaluating true BCI communication rate through mutual information and language modelsPloS one, 2013
- Measuring Health Related Quality of Life (HRQoL) in Crohn’s Disease Using Twitter: A Pilot Study of Social Media As a Novel Tool to Assess Disease BurdenGastroenterology, 2013
2012
- A topic model of clinical reportsIn Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, 2012
2011
- Wireless data collection of self-administered surveys using tablet computersIn AMIA Annual Symposium Proceedings, 2011
- Natural language processing with dynamic classification improves P300 speller accuracy and bit rateJournal of neural engineering, 2011
- Robust skull stripping of clinical glioblastoma multiforme dataIn Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III 14, 2011
2010
- A neuro-oncology workstation for structuring, modeling, and visualizing patient recordsIn Proceedings of the 1st ACM International Health Informatics Symposium, 2010
- Clinical case-based retrieval using latent topic analysisIn AMIA annual symposium proceedings, 2010
2007
- A prototype Web-based reporting system for onsite-offsite clinician communicationRadiographics, 2007