Development and Translation of Advanced Motion Correction Technologies for Cardiac PET/CT. link
Multi-Center Academic-Industrial Partnership for Personalized Al-Enabled High Count PET. Link
Personalized Task-Based Respiratory Motion Correction for Low-Dose PET/CT. link
Development of advanced cardiac SPECT imaging technologies. Link
Quantitative Low-Dose PET Imaging. Link
SPECT Imaging of Peripheral Vascular Disease. Link
Robust AI to develop risk models in retinopathy of prematurity using deep learning. Link
Distributed Learning of Deep Learning Models for Cancer Research. Link
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response. Link
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers. Link
Computerized Quantitative Imaging Assessment of Tumor Burden. Link
Data Concepts and Terminology Standards in Imaging to Support Human Drug Developm. link
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI. Link
Implications of Spatiotemporal Deep Learning Neural Networks in Echocardiographic Diagnosis and Prognostication of Takotsubo Syndrome. Link
Developing a Treatment Planning System for Next Generation Rotating-Shield Brachytherapy. Link
Developing Enabling PET-CT Image Analysis Tools for Predicting Response in Radiation Cancer Therapy. Link
Accurate Target Delineation and Motion Tracking to Improve IMRT Effectiveness. Link
An Accurate Non-Contrast-Enhanced Cardiac MRI Method for Imaging Chronic Myocardial Infarctions: Technical Developments to Rapid Clinical Validation. Link
Model Based Deep Learning Framework for Ultra-High Resolution Multi-Contrast MRI. Link
High Resolution MRSI for Alzheimer's Disease and Related Dementias. Link
Novel Computational Framework for Free-Breathing & Ungated Dynamic MRI. Link
Novel algorithm for improved contrast enhanced cardiac MRI. Link
Deep Learning Methods for Improving Gallium 68-Based PET Imaging. Link
Optimization of Tau PET Imaging for Alzheimer's Disease through Deep Learning-Based Image Reconstruction. Link
Optimization of PET Image Reconstruction for Lesion Detection. Link
Correction of Partial Volume Effects in PET for Alzheimer's Disease Using Unsupervised Deep Learning. Link
Designing Novel MR Imaging Tools to Quantify Lower-Limb Exercise Adaptations in Knee Osteoarthritis. Link
Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning. Link
Development of SMART on FHIR interoperable clinical decision support for emergency department patients with pneumonia and pilot deployment into novel Epic electronic health record environments. Link
Population-level Pulmonary Embolism Outcome Prediction with Imaging and Clinical Data: A Multi-Center Study. Link
Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software Infrastructure. Link
DEVELOPMENT OF A KNOWLEDGE-BASED IMAGE REPORTING SYSTEM. Link
COMPUTER-BASED EXPLANATION METHODS FOR DECISION MODELS. Link
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients. Link
Biomedical Informatics. Link
INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER. Link
Co-Clinical Research Resource for Imaging Tumor Associated Macrophages. Link
Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial Intelligence. Link
Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT. link
Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CT. link
Integrated analysis of coronary anatomy and biology with 18F-fluoride PET and CT angiography. Link
High Performance Automated System for Analysis of Fast Cardiac SPECT. Link
AI-enabled characterization of fibrocalcific aortic valve disease and inflammation from CT Angiography: Patient-specific outcome prediction. Link
Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT Angiography. Link
Automated quantitative CT imaging of epicardial adipose tissue and risk of cardiac events. Link
AUTOMATIC QUANTITATIVE CT IMAGING OF PERICARDIAL FAT: A NOVEL ISCHEMIA PREDICTOR. Link
Artificial Intelligence Imaging Biomarkers of Longitudinal Cardiovascular Stress. Link
Deep Learning Based Phenotyping and Outcomes Prediction for Valvular Heart Disease. Link
Deep Learning Assessment of the Right Ventricle: Function, Etiology, and Prognosis. Link
Multiparametric PET/MRI Assessment of Mast Cell Stabilization Effects on Inflammaging and Glucose Utilization in Infarcted Myocardium. Link
Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images. Link
Fully Quantitative Low-Dose, Motion-Resolved Dynamic Contrast-Enhanced MRI in Pancreatic Adenocarcinoma. Link
Integrating imaging and computation to characterize neural crest cells in the myocardial development and regeneration. Link
Improved Whole-Brain Spectroscopic MRI for Radiation Treatment Planning. Link
High resolution volumetric MRI for prostate cancer active surveillance. Link
R21HL181630-01: Natural language processing and machine learning for development of a fontan failure risk prediction model from electronic health records
Aim 1: advance biomedical NLP to improve the automatic classification of fontan phenotypes in the cohort
Aim 2: develop a generalizable and interpretable pipelines to so that NLP/ML outputs can be traced by domain experts
Aim 3: implement data-driven methods to develop a risk prediction model for adverse outcomes in fontan patients
R21EB033102-02: An affordable and versatile two-dimensional cell isolation and tracking platform based on image machine learning and maskless photolithography single cell encapsulation
Aim 1: develop high-speed machine learning-based cell classification module
Aim 2: develop a stop flow lithography-based 2D cell sorting platform
Aim 3: integrate the machine learning detectopm and maskless lithographi with size-based fitering/sorting into an affordable cell sorter
R21HL172011-03: Computer-vision and computational fluid dynamic analysis pipeline to improve diagnosis in pediatric subglottic stenosis
Aim 1: demonstrate and validate SfM+CFD analysis pipeline on a cohort of patients receiving both endoscopy and CT imaging
Aim 2: develop the relationship between parameters measured from the pipeline and identify metrics for predict clinical severity
R21HL175632-01A1: Evaluation of the efficacy of computer aided exercise ECG reader for automated diagnosis of coronary artery disease
Aim 1: evaluate the performance of CAESER as compared to ICA evidence of CAD across large scale symptomatic patient population
Aim 2: evaluate the variance in performance of CAESER across gender, race, and SES
R21EB030677-02: Automated sonographic detection of pulmonary embolism using machine learning algorithm
Aim 1: develop a machine learning algorithm for the detection of PE
Aim 2: validate the accuracy of ML algorithm to detect PE on echocardiographic image
R21EB033923-01S1: Navigating ethical frontiers of AI-deirven clinical decision support systems: exploring explainability and bias
Supplement aim 1: analyze ethical guidelines and concerns with AI in genetic screening to assess ethical concerns of integrating AI
Supplement aim 2: generate explanations, minimize bias by investigating how different methods of generating explanations and best practices
R21HL168476-02: Blood biomarkers associated with adverse outcomes in heart failure
Aim 1a: test the association between baseline and increasing levels of serum ST1with composite outcome
Aim 1b: test the association between baseline and increased levels of serum ST2 and the outcome of change in eGFRcr-cys
Aim 2: investigate which GFR estimate is more predictive of composite outcome
Aim 3: analyze data from registry evaluation of vital information for ventricular assist devices in ambulatory life
R21HL181072-01: Association between blood biomarkers and adverse cardiovascular and kidney outcomes
Aim 1: determine whether higher baseline levels of a subset of prespecified blood biomarkers are associated with cardiovascular outcome
Aim 2: determine whether higher baseline levels of blood biomarkers are associated with eGFR decline and increase in UACR
R21EB032638-04: Towards ultrasound brain imaging via machine-learning-extracted skull profile and speed of sound
Aim 1: develop and evaluate deep learning-based skull profile and SOS extraction algorithm using synthetic data
Aim 2: evaluate deep learning algorithms’ performance in skull profile and SOS extraction using experimental data
Aim 3: evaluate deep learning algorithms’ performance in transcranial imaging
R21EB034835-02: Learning-based autonomous decision-support for blood pressure management in hemorrhage resuscitation via population-informed statistical inference
Aim 1: develop a blood pressure prediction algorithm for the LEAD system via population-informed recursive collective inference
Aim 2: evaluate the LEAD BP prediction algorithm using clinical dataset
Aim 3: realize the LEAD system using a computational user interface platform and conduct simulated real-time testing
R21EB035382-02: Angiography-derived imaging biomarkers of the coronary microcirculation
Aim 1: develop, test, and validate (a) a recently-developed hybrid intelligence approach to segment major vessel segments and myocardial tissue regions in clinical coronary angiograms, and (b) methods to estimate parameters of blood flow in segmented vessels and perfusion in segmented tissue regions
Aim 2: determine optimal imaging biomarkers for coronary microvascular function using two leading methods currently used to quantify conronay microvasculature
R21EB032950-03: Interpretable deep learning models for analysis of longitudinal 3D mammography screenings
Aim 1: develop a deep learning model for simultaneously leveraging spatial, temporal, and non-imaging clinical information from DBT exams
Aim 2: create a new tool to detect breast cancer from longitudinal DBT screenings
Aim 3: develop a new model for predicting development of breast cancer based on longitudinal DBT sudies and extract 3D mammographic biomkaers associated with cancer development
R21HL172119-01A1: Unsupervised machine learning to identify unique clusters of systemic sclerosis pulmonary hypertension patients
Aim 1: use unsupervised ML to identify distinct clusters of systemic sclerosis pre-capability pulmonary hypertension
Aim 2: evaluate transplant-free survival and hospitalization rates in the newly identified clusters
R21HL167126-02: Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apnea
Aim 1: evaluate whether novel heart rate response-based obstructive sleep opnea metrics improve risk prediction of AF beyond the current AF risk prediction model
Aim 2: develop and test deep learning model using an awake ECG and sleep ECG to predict new onset AF in general population with obstructive sleep apnea
Aim 3: evaluate whether deep learning prediction improves risk prediction of AF beyond the current AF risk prediction model
R21EB035278-03: Ultrasound-guided robotic histotripsy array system for non-invasive precise and complete ablation of soft tissue sarcoma
Aim 1: development of a novel ultra-high rate histotripsy system that overcomes limitations in the current technology
Aim 2: evaluation of the application of the system as entire-tumor, stand-alone treatment of soft tissue sarcomas in pet dogs
R21EB033985-03 : Rapid free-breathing 3D high-resolution MRI for volumetric liver iron quantification
Aim 1: enable rapid free-breathing ultrathort TE MRI, which acquires images at multiple time point
Aim 2: enable retrospectively motion-corrected image reconstruction that makes use of low-rank tensor structure of acquired 3D spatiotemporal volumetric data
R21EB034075-02: Deep learning assisted scoring of point of care lung ultrasound for acute decompensated heart failure in the emergency department
Aim 1: develop and evaluate explainable tools for automated quantification of pulmonary congestion using retrospective lung ultrasound data
Aim 2: validate the performance of trained models in a workflow demonstrated by a prospective observation study
R21HL161761-02: Phenotyping heart failure through analysis of secondary data
Aim 1: use data from 74K patients to characterize survival and treatment response according to simple characteristics, predictive models, and complex phenotypes
Aim 2: validate models from Aim 1, explore novel phenotypes, and describe associated clinical characteristics prior to diagnosis in 10K patients from observation cohorts
R21EB037268-01: AI-driven hip exoskeleton control framework that rapidly generalizes to a broad range of users and real-world locomotor tasks
Aim 1: develop trailblazer exoskeleton control - a versatile hip exoskeleton control framework
Aim 2: evaluate the ability of young and older adults using trailblazer exoskeleton control and three alternative conditions
R21EB033923-01 : Information-theoretic surprise-driven approach to enhance decision making in healthcare
Aim 1: MRI harmonization via amplitudes synchronization to mitigate scanner-to-scanner variability
Aim 2: cause inference and information theory to discover the causal relationships between BRCA mutation and imaging phenotypes
F31: NIH grant for predoctoral scientists. Link
K01: NIH grant for those with research or health-professional doctoral degree to work in epidemiology, computational modelling, or outcomes research. Link
K08: NIH grant for those working in biomedical or behavioral research with clinical doctoral degree. link
K22: NIH grant for biomedical or behavioral postdoctoral with research doctorate (PhD) and/or clinical doctorate (MD/DVM).
K23: NIH grant for people with clinical doctor degree. Link
K24: NIH grant for those with health-professional degrees or its equivalent (MD/DO/DDS/DMD/OD/DC/PharmD/ND), or a doctorate degree in a clinical discipline. link
K25: NIH grant for those at postdoctoral level to senior faculty level with advanced doctoral (MSEE/PHD/DS) in quantitative science. link
(K99) Use of Genetic Information by Life, Long-term Care, and Disability Insurers: Exploring International Lessons, the Domestic Legal Landscape, and Options for U.S Policy. Full Application, Summary Statement
(K99) Ethical, Legal, and Social Implications of Translational Psychiatric Genomics Research. Full Application, Summary Statement
(K99) More than just a load control: cytoskeletal form and function during aging. Full Application, Summary Statement
(K99) Enhanced Dementia Instruction and Tools in Home Hospice (EDITH-HC). Full Application, Summary Statement
(K99) Returning Exome and Whole Genome Results to Underserved Minority Populations. Full Application, Summary Statement
(R01) Addressing Ethical Challenges in Networked Biorepositories. Full Application, Summary Statement
(R01) Clinical Integration of Whole Genome Sequencing: A Policy Analysis. Full Application, Summary Statement
(R01) iability in the delivery of personalized medicine: driver, impediment, or both? Full Application, Summary Statement
(R01) Anticipating Personal Genomic Medicine: Impact and Implications. Full Application, Summary Statement
(R01) Interrogating human anti-staphylococcal antibody responses for S. aureus vaccine insights. Full Application, Summary Statement
(R01) Innate immunity against viral infection in intestinal epithelial cells of C. elegans. Full Application, Summary Statement
(R01) Assessing the roles of biofilm structure and mechanics in pathogenic, persistent infections. Full Application, Summary Statement
(R01) Hair Extensions: Using Hair Levels to Interpret Adherence, Effectiveness and Pharmacokinetics with Real-World Oral PrEP, the Vaginal Ring, and Injectables. Summary Statement
(R01) Preventing falls and frailty in prostate cancer survivors: GET FIT Prostate. link
(R01)Implementing universal lynch syndrome screening across multiple healthcare systems: identifying strategies to facilitate and maintain programs in different organizational contexts. link
(R01) Image analysis for high-throughput C. elegans infection and metabolism assays. link
(R01) Peptide Autoinducers of Staphylococcal Pathogenicity. Full Application, Summary Statement
(R01) Reducing Chemotherapy Toxicity in Older Adults. link
(R01) Sleep Disturbance, Inflammation, and Cellular Aging in Breast Cancer Survivors. link
(R01) Disseminating Evidence-Based Interventions to Control Cancer. Link
(R01) Increasing Implementation of Evidence-Based Interventions at Low-Wage Worksites. link
(R01) Establishing The Program Sustainability Action Planning Training Model. link
(R01) Implementing Tobacco Use Treatment Guidelines in Community Health Centers in Vietnam. link
(R01) Using Technology to Scale-Up an Occupational Sun Protection Policy Program. link
(R01) Preventing Falls and Frailty in Prostate Cancer Survivors: GET FIT Prostate. link
(R01) Sexual Health Empowerment for Cervical Health Literacy and Cancer Prevention. link
(R01) A Primary Care Multilevel mHealth Colorectal Cancer Screening (mCRC) Intervention. link
(R01) Constituent Yields and Biomarkers of Exposure for Tobacco Product Regulation. link
(R01) Establishing Smoke-Free Homes with Families Involved in Child Protective Services: An Effectiveness-Implementation Trial of an Integrated Program. link
(R01) Inflammatory cascades disrupt Treg function through epigenetic mechanisms. Full Application, Summary Statement
(R01) Enhance AAV Liver Transduction with Capsid Immune Evasion. Full Application, Summary Statement
(R01) Intersection of polyomavirus infection and host cellular responses. Full Application, Summary Statement
(R01) Increasing Implementation of Evidence-Based Interventions at Low-Wage Worksites. link
(R01) Using Technology to Scale-Up an Occupational Sun Protection Policy Program. link
(R01) Implementing Cancer Prevention Using Patient - Provider Clinical Decision Support. link
(R01) Next Generation of HPV and Cervical Cancer Research in HIV+ Women. link
(R01) Personalized Screening for Lung Cancer: the Importance of Co-existing Chronic Conditions to Clinical Practice and Policy. link
(R01) Predicting and Addressing Colonoscopy Non-adherence in Community Settings. link
(R01) Using MOST to EMPOWER: Optimizing an Emotional Regulation Intervention to Enhance Well-being Among Young Adult Cancer Survivors. link
(R01) Improving Informal Caregivers' and Cancer Survivors' Psychological Distress, Symptom Management and Health Care Use. Link
(R03) Immune-Regulating MHC Class I-Like Proteins and Colorectal Cancer Risk. link
(R03) Intergenerational Monitoring in Clinical Trials of Germline Gene Editing: Ethical, Legal, and Social Issues. Full Application, Summary Statement
(R03) Ethical, Legal, and Social Implications in Military Genomics. Full Application, Summary Statement
(R03) Statewide Assessment of HPV Vaccination Among Childhood Cancer Survivors. link
(R03) Multi-center Evaluation of Digital Breast Tomosynthesis with Synthesized Two-dimensional Mammography for Breast Cancer Screening. Link
(R03) Ecological Concepts of Human Identity in Microbiome and Metagenomic Research. Full Application, Summary Statement
(R03) Modeling atomic structure of the EmrE multidrug pump to design inhibitor peptides. Full Application
(R03) Forward genetics-based discovery of Histoplasma virulence genes. Full Application, Summary Statement
((R03) Participant Beliefs and Bias in a Randomized Controlled Trial. link
(R15) Development of a Novel Inhibitor of Ricin: A Potential Therapeutic Lead against Deadly Shiga and Related Toxins. Full Application, Summary Statement
(R15) Elucidating the evolution of Coxiella to uncover critical metabolic pathways. Full Application, Summary Statement
(R21) Mechanisms of enteric Burkholderia psuedomallei infection. Full Application, Summary Statement
(R21) Human immune system layering and the neonatal response to vaccines. Full Application, Summary Statement
(R21) Multisensory Processing Across Lifespan and Links to Cognition. link
(R21) Effective Training Models for Implementing Health-Promoting Practices Afterschool. Link
(R21) Vegetable Garden Feasibility Trial to Promote Function in Older Cancer Survivors. link
(R21) Using Ethics and User-Centered Design to Create Templates for EHR-Mediated Return of Genetic Test Results. Full Application, Summary Statement
(R21) Demographic Patterns of Eugenic Sterilization in California. Full Application, Summary Statement
(R21) Returning Research Results of Pediatric Genomic Research to Participants. Full Application, Summary Statement
(R21) Interactive Multimedia and Biorepository Informed Consent. Full Application, Summary Statement
(R21) Response to Testing Among Individual Consumers of DTC Personal Genomics Service. Full Application, Summary Statement
(R21) Ribosome profiling of Trypanosoma brucei. Full Application, Summary Statement
(R21) Lymphoid signals for stromal growth and organization in the thymus. Full Application, Summary Statement
(R21) Alteration of host protein stability by Legionella. Full Application, Summary Statement
(R21) Effective Training Models for Implementing Health-Promoting Practices Afterschool. link
(R21) Estimation and Association Analysis of Biomarkers for Tumor Immune Microenvironment. link
(R21) Improving Transition Readiness in Adolescent and Young Adult (AYA) Survivors of Childhood Cancer. link
(R33) The semen enhancer of HIV infection as a novel microbicide target. Full Application, Summary StatementPD
(R37) Obesity, Chemotherapy Dosing, and Breast Cancer Outcomes. link
(R37) Sustainability Determinants of an Intervention to Identify Clinical Deterioration and Improve Childhood Cancer Survival in Low-Resource Hospitals. link
(R37) Testing an Adaptive Implementation Strategy to Optimize Delivery of Obesity Prevention Practices in Early Care and Education Settings. link
(R37) De-implementation of low value castration for men with prostate cancer. link
(R41/R42, STTR) Amprion. Full Application, Summary Statement
(R41/R42, STTR) CorticoMetrics. Full Application, Summary Statement
(R41/R42, STTR) StarWise. Full Application, Summary Statement
(R41/R42, STTR) Development of Small Molecule Therapeutics Targeting Hemorrhagic Fever Viruses. Full Application, Summary Statement
(R41/R42, STTR) Lead Compound Discovery from Engineered Analogs of Occidiofungin. Full Application, Summary Statement
(R41/R42, STTR) Developing a small peptide to control autoimmune inflammation in type 1 diabetes. Full Application, Summary Statement
(R41/R42, STTR) Novel indication for myeloid progenitor use: Induction of tolerance. Full Application
(R41/R42, STTR) Antigen Detection assay for the Diagnosis of Melioidosis. Full Application
(R41/R42, STTR) Courier Therapeutics, Inc. Full Application
(R43/R44, SBIR) ANDAA for universal, pan-lineage molecular detection of Lassa fever infection. Full Application, Summary Statement
(R43/R44, SBIR) High-throughput, multiplexed characterization and modeling of antibody:antigen binding, with application to HSV. Full Application, Summary Statement
(R43/R44, SBIR Crossroads Consulting. Full Application, Summary Statement
(R43/R44, SBIR) CareBand. Full Application, Summary Statement
(R43/R44, SBIR) care.coach Corporation. Full Application, Summary Statement
(R43/R44, SBIR) Experimental Gonococcal Vaccine. Full Application, Summary Statement
(R43/R44, SBIR) Broadly protective (universal) virus-like particle (VLP) based influenza vaccine. Full Application
(R43/R44, SBIR) Point-of-Care HIV Antigen/Antibody Diagnostic Device. Full Application
(R43/R44, SBIR) Antibiotics for Recalcitrant Infection. Full Application
(R43/R44, SBIR) Rapid Test for Recent HIV Infection. Full Application
(R43/R44, SBIR) Rapid, automated, detection of viral and bacterial pathogens causing meningitis. Full Application
(R43/R44, SBIR): ISPIN, Inc. Full Application
(R43/R44, SBIR) Enspectra Health, Inc. Full Application
(R43/R44, SBIR) Stingray Therapeutics, Inc. Full Application
(R50) Natural History of Lung Cancer Diagnosed Within and Across Diverse Health Systems Implementing Lung Cancer Screening. link
(P01) Improving Uptake of Cervical Cancer Prevention Services in Appalachia. link
RI: Medium: Collaborative Research:Algorithmic High-Dimensional Statistics: Optimality, Computtional Barriers, and High-Dimensional Corrections. link
RI: Small: Uncertainty Quantification for Nonconvex Low-Complexity Models. link
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning. link
Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality. link
CIF: Small: Taming Nonconvexity in High-Dimensional Statistical Estimation. link
Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality. link
Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms. link
Collaborative Research: Wavelet Frames for Variational Models in Imaging: Bridging Discrete and Continuum. link
RAPID: High-Throughput and Low-Cost Testing of COVID-19 Viruses and Antibodies through Compressed Sensing and Group Testing. link
CCSS: Collaborative Research: Sketching for High Dimensional Data Analysis in IoT. link
Taming Nonlinear Inverse Problems: Theory and Algorithms. link
CIF: Medium: Collaborative Research: Theory of Optimization Geometry and Algorithms for Neural Networks. link
CIF: Medium: Collaborative Research: Nonconvex Optimization for High-Dimensional Signal Estimation: Theory and Fast Algorithms. link
CIF: Small: Inverse Methods for Parametric Mixture Models. link
CAREER: Robust Methods for High-Dimensional Signal Processing under Geometric Constraints. link
EAGER-DynamicData: Subspace Learning From Binary Sensing. link
CIF: Small: Adaptive signal representation for accelerated multidimensional imaging. link
QuBBD: Collaborative Proposal: Interactive Ensemble Clustering for Mixed Data with Application to Mood Disorders. link
CRII: III: Scaling up Distance Metric Learning for Large-scale Ultrahigh-dimensional Data. link
BIGDATA: F: New Algorithms of Online Machine Learning for Big Data. link
SCH: INT: Collaborative Research: A Framework for Optimizing Hearing Aids In Situ Based on Patient Feedback, Auditory Context, and Audiologist Input. link
CAREER: Advancing Constrained and Non-Convex Learning. link
Collaborative Research: RI: Small: Robust Deep Learning with Big Imbalanced Data. link
FAI: Advancing Optimization for Threshold-Agnostic Fair AI Systems. link
CAREER: Advancing Constrained and Non-Convex Learning. link
Collaborative Research:SCH:Bimodal Interpretable Multi-Instance Medical-Image Classification. link
Geometric and Combinatorial Algorithms for Optimal Surface Segmentation in Medical Images. link
CAREER: Novel Geometric Techniques for Optimal Surface Detection in Medical Images. link
AitF: Collaborative Research: Automated Medical Image Segmentation via Object Decomposition. link
AF: Small: Some New and Old Frontiers in Geometric Optimization. link
NSF Convergence Accelerator - Track D: ImagiQ: Asynchronous and Decentralized Federated Learning for Medical Imaging. link
Collaborative Research: Nonconvex Models for Structured Sensing: Theory, Algorithms, and Applications. link
Collaborative Research: High Dimensional Multivariate Analysis. link
Fractional Imputation for Incomplete Data Analysis. link
CIF: Small: Model-based sparse X-ray CT signal processing using polychromatic measurements. link
Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification. link
Collaborative Research: SCH: Geometry and Topology for Interpretable and Reliable Deep Learning in Medical Imaging. Link
SCH: Improving Patient Health and Equity through the Digital Transformation of Diabetes Care Delivery. Link
Collaborative Research: SCH: Quantifying Cardiac Performance by Measuring Myofiber Strain with Routine MRI. Link
I-Corps: Wearable Cardiovascular Abnormality Detector. Link
Advancing Theory and Methodology for Tree-Based Algorithms in High Dimensions. Link
EAGER: Ultra Low Light Level Imaging for Ophthalmological Applications. Link
Collaborative Research: SCH: A Causal AI Digital Twin Framework to Transform Intensive Care Delivery. Link
Stability issues in some biomedical, financial, and geophysical inverse problems. Link
PFI-RP: Noninvasive Technology to Determine an Individual's Risk of Having a Heart Attack. Link
CAREER: Super-resolution Ultrasound Imaging for High-resolution Functional Mapping of the Brain. Link
Collaborative Research: CISE MSI: RCBP: RI: Explainable Multi-modality Time Series Question Answering System. Link
Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification. Link
CISE MSI: RPP: IIS: Deep Clustering of Unlabeled Tabular Data for Transfer Learning in Heterogeneous Feature Space. Link
CIF: Small: Advanced Understanding and Applications of Deep Learning. Link
Collaborative Research: FDT-BioTech:physics-informed and machine learning-accelerated digital twin simulations for cardiovascular medical device evaluation. Link
I-Corps: Translation potential of a guidance system for needles used in computed tomography (CT)-guided medical procedures. Link
CAREER: Wirelesss Sensing for In Vivo Medical Devices. Link
EAGER: Developing Concept-based Reasoning Approaches for Health. Link
Collaborative Research: CIF: Medium: Robustness to Distribution Shifts in Computational Imaging - Inference, Sampling, and Adaptation. Link
SHF: SMALL: FIRST: Enabling Real-Time, Scalable, and Verifiable Generative Visual AI Systems. Link
SCH: Generative Imaging Models for Verifying and Explaining Machine Learning Systems in Healthcare. Link
Collaborative Research: Efficient Individualized Treatment Selection for Personalized Medicine. Link
CAREER: Making Domain-Specific AI Models Steerable by Leveraging Foundational Models. Link
CRII: RI: Uncertainty-Aware Visual Representation-Learning via Multicalibration. Link
Collaborative Research: III Small: Towards Large Open-World Foundation Models: Construction, Adaptation, and Deployment. Link
CRII: SCH: Improving translation of deep learning in clinical ECG diagnostics. Link
CAREER: Enabling Reliable Uncertainty-Aware Decision Making with Unreliable Data. Link
CAREER: Self-Directed Human-LLM Coordination for Language Learning and Information Seeking. Link
Gradient Sampling Methods for Noisy Nonconvex Nonsmooth Optimization. Link
PALYIM: A DEEP-LEARNING PLATFORM FOR POLLEN IMAGE ANALYSIS. Link
Collaborative Research: A Machine Intelligence Assessing Motivation, Adapting Challenge, and Fostering Compliance with Cued Therapeutic Activity After Stroke. Link
CAREER: Integrating Heterogenous Health Data for Improved Predictive and Explainable Methods. Link
CAREER: Privacy Auditing Frameworks and Defenses for Machine Learning Models Trained on Tabular Data. Link
SBIR Phase II: Artificial Intelligence (AI)-Enabled Ultrasound for Imaging and Diagnosing Musculoskeletal Injuries. Link
Adaptive sampling for scientific machine learning: algorithms and applications. Link
CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision. Link
CAREER: Compositional Learning and Understanding of the Physical World. Link
New frontiers for Bayesian hierarchical models in inverse problems. Link
CAREER: The Science of Risk Assessment. Link
CAREER: Statistical Inference in the Presence of Group Actions: Theory, Method, and Application. Link
A Geometric Framework for Stochastic Algorithms in Feasibility and Inclusion Problems. Link
CAREER: High-Dimensional Learning and Inference from Heterogeneous Data Sources. Link
CRII: III: Towards Efficient Interpretation for Explainable Learning: A Computational Perspective on Attribution and Recourse. Link
CAREER: Integrating Conformal Prediction into Machine Learning for Provably Safe Deployment. Link
CAREER: Verifiable Decision Support via Language Models Grounded in Written Guidelines. Link
SBIR Phase II: Compact Multi X-ray Source Imaging Modules for Point-Of-Care Medical Screening. Link
SaTC: CORE: Small: Toward Adversarially Robust and Privacy-Preserving EHR Systems: Data Complexity and New Training Paradigms. Link
SBIR Phase I: Developing Next-Generation Payloads for Targeted Therapies. Link
SBIR Phase I: Two-stage Causal AI modeling for Causally-Aware, Edge-Deployable Healthcare AI. Link
EAGER: Imaging and sensing through the skin using diffractive networks. Link
SBIR Phase I: Predicting and Diagnosing Alzheimers Disease and Mild Cognitive Impairment by MRI Using Variational Autoencoder and Machine Learning Algorithm. Link
I-Corps: Translation Potential of a Platform for Medical Artificial Intelligence (AI) Model Development and Sharing. Link
SBIR Phase I: Image-Guided Controlled Release Platform for Intratumoral Immunoadjuvant Delivery. Link
CAREER: Intelligent Biomarker Analysis based on Wearable Distributed Computing. Link
CAREER: Towards Reliable Machine Learning in Feedback Systems. Link
I-Corps: Translation potential of an artificial intelligence (AI) approach for brain lesion segmentation. Link
CAREER: Robust Machine-Learning Methods for Imaging. Link
Gradient Sampling Methods for Noisy Nonconvex Nonsmooth Optimization. Link
Computational Models for Predicting Neonatal Brachial Plexus Injury During Complicated Birthing. Link
CAREER: III: Trust-EEG: A Trustworthy Machine Learning Framework for Augmenting Clinical Review of Electroencephalograms. Link
CAREER: Improving Real-world Performance of AI Biosignal Algorithms. Link
SCH:Artificial Intelligence for Contrast-Enhanced Imaging. Link
CRII: SCH: Domain-guided Machine Learning for Clinical Decision Support in Epilepsy. Link
A Bilevel Optimization Approach to Integrating Personalized Treatment with Healthcare Resource Planning. Link
CAREER: Smart and scalable approaches for developing multimodal optical and acoustic imaging technologies. Link
SBIR Phase I: Development of novel artificial intelligence (AI)-enabled, non-invasive, heart attack diagnostics. Link
Collaborative Research: A generalizable data framework towards Precision Radiotherapy. Link
SCH: Bringing Intelligence to Pulmonology: New AI-Enabled Systems for Pulmonary Function Tests Anytime and Anywhere. Link
SCH: INT: Collaborative Research: DeepSense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine. Link
(NSF IUSE) Creating an Academic Community to Foster Curiosity and Discovery in Introductory Geoscience Classes. Link
(NSF IUSE) Inquiry Based Learning Modules for Atmospheric Science Using Student-Accessible Modeling Tools. Link
(NSF IUSE) Transforming Museums and Colleges into an Effective Earth Science Partnership: Creating Student Explorations of Museum Exhibits for Undergraduate Education. Link
(NSF IUSE) The Math You Need, When You Need It: Modular Student Resources to Encourage Successful Incorporation of Quantitative Concepts in Introductory Geoscience. Link
(NSF IUSE) Get WET Observatory: Implementing a Fluid Learning Experience for Undergraduates. (Project summary only.) link
(NSF IUSE) Collaborative Research: Expansion of “The Math You Need, When You Need It” Through Widespread Implementation. Link
(NSF IUSE) Bringing Relevance to Earth Science Introductory Curricula through Images Showing Human/Landscape Interaction. Link
(NSF IUSE) Improving Reasoning and Technological Competency Across the Curriculum through Targeted Applications of GIS. Link
(NSF IUSE) The power of moving sediment: integrating experimental sedimentology into the undergraduate geoscience curriculum. Link
(NSF IUSE) Enhancing Student Understanding of Environmental Systems with Ion Chromatography. Link
(NSF OEDG) Enhancing Diversity Track 1: Intensive Field Experience in Northern Illinois and Central Mexico for Junior and Senior High School Teachers Serving Large Hispanic Populations. Link
(NSF REU) REU Site: Interdisciplinary Watershed Studies at the College of William and Mary (project description). Link
(NSF MRI) Acquisition of a Scanning Electron Microscope (SEM) with EDS, EBSD and CL detectors to advance research and undergraduate research training. Link
(NSF MRI) Acquisition of an Electron Backscatter Diffraction System. Link
(NSF IF) Acquisition of a Rapid Sediment Grain Size Analyzer. Link
(NSF CAREER) Algorithmic Aspects of Machine Learning. Link
(NSF CAREER) The Computational Complexity of Halfspace-Based Learning. Link
(NSF CAREER) Geometric phenomena in algorithms and complexity. Link
(NSF CAREER) Approximation algorithms – new directions and techniques. Link
(NSF CAREER) A unified theory of pseudorandomness. Link
(NSF CAREER) Approximation algorithms for geometric computing. Link
(NSF CAREER) High-dimensional geometry problem. Link
(NSF CAREER) Models and causal structure in econometric analysis. Link
(NSF CAREER) Triggering eruptions: Determination of Pressure-Temperature-Composition-time (P-T-X-t) Histories for Magma Bodies Preceding Eruption. Link
(NSF CAREER) Contrasting environmental controls on regional CO2 and CH4 biogeochemistry “ Research and education for placing global change in a regional, local context. Link
(NSF CAREER) Effects of particle size on physical and chemical properties of mine wastes. Link
(NSF CAREER) A Study of the Radiative Effects of Cloud Shadows on the Dynamics of Long-Lived Convective Storms. Link
(NSF CAREER) Earth System Science Perspective on the Sulfur Cycle. Link
(NSF CAREER) Sediment Dynamics on the Bengal Shelf and Fate of the Ganges-Brahmaputra Floodpulse. Link
(NSF CAREER) A Research and Education Program in Dynamical Paleoclimatology. Link
(NSF CAREER) Integrated Stratigraphic and Hydrogeologic Aquifer Analysis: Toward Improved Multi-scale Characterization of Alluvial Aquifer Systems. Link
(NSF GEO) Collaborative Research NSF/GEO-NERC: The Collapse of the Cordilleran Ice Sheet: Using Glacial Dipsticks to Constrain Ice Sheet Modeling. Link
(NSF) Developing a functional marker gene for Fe oxidation. Link
(NSF EAR) Collaborative Research: Deciphering connections among land management, soil erosion, and sediment yield in large river basins. Link
(NSF OCE) Collaborative Research: Vortex Dynamics and Interannual Variability in the Labrador Sea. Link
(NSF EAR) Collaborative Research: Strike-Slip History of the East Gobi Fault Zone, Mongolia: Modes of Intraplate Deformation, Sedimentary Basin Evolution, and Regional Fault Linkages. Link
(NSF ATM) Collaborative Research: Impact of Externally and Internally Modulated Convection on Tropical Cyclone Evolution. Link
(NSF EAR) Collaborative Research: Quantifying the Dependence of Fabric and Rheology on Finite Strain for Naturally Deformed Rocks. Link
(NSF OCE) Expansion & Collapse of the Cordilleran Ice Sheet during the Quaternary (project description). Link
(NSF EPSCoR) Sulfate 17O Anomalies in Cenozoic Volcaniclastic Deposits in the Northern High Plains, North America. Link