2025
Paging and the Address-Translation Problem
Bender M, Bhattacharjee A, Conway A, Farach-Colton M, Johnson R, Kannan S, Kuszmaul W, Mukherjee N, Porter D, Tagliavini G, Vorobyeva J, West E. Paging and the Address-Translation Problem. ACM Transactions On Algorithms 2025 DOI: 10.1145/3737700.Peer-Reviewed Original Research
2024
Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation
Mulford K, Grove A, Kaji E, Rouzrokh P, Roman R, Kremers M, Maradit Kremers H, Taunton M, Wyles C. Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation. The Journal Of Arthroplasty 2024, 40: 1232-1238. PMID: 39477040, PMCID: PMC11985313, DOI: 10.1016/j.arth.2024.10.103.Peer-Reviewed Original ResearchConceptsObject detection modelDetection modelF1 scoreConformal predictionAverage precisionOut-of-domain imagesOut-of-domainPer-class F1-scoresUncertainty-awareMultilabel classifierEfficientNet modelIngestion pipelineLabel outputsClassification modelClassifierDomain detectionHeld-outMultilabelUncertainty quantificationModel performanceKnee imagesEfficientNetLarge-scaleHardwarePrecisionLow-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging
Samardzija A, Selvaganesan K, Zhang H, Sun H, Sun C, Ha Y, Galiana G, Constable R. Low-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging. Annual Review Of Biomedical Engineering 2024, 26: 67-91. PMID: 38211326, DOI: 10.1146/annurev-bioeng-110122-022903.Peer-Reviewed Original ResearchComb EMI: a hardware-free, training-free approach to EMI correction
Sun H, Sun C, Ha Y, Samardzija A, Gross R, Galiana G, Constable R. Comb EMI: a hardware-free, training-free approach to EMI correction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2691.Peer-Reviewed Original ResearchElectromagnetic interferenceTraining-freeNoise-dominated regionTraining dataDesign complexityExternal hardwareHardware-freeExtra hardwareHardwareDesign possibilitiesPoint-of-careExperimental dataMRI systemWhite noiseCancellationImprove costSparsitySampling windowSNRDesignTrainingPassive shieldingPortabilityCostMethodDistributed Brain–Computer Interfacing With a Networked Multiaccelerator Architecture
Pothukuchi R, Sriram K, Gerasimiuk M, Ugur M, Manohar R, Khandelwal A, Bhattacharjee A. Distributed Brain–Computer Interfacing With a Networked Multiaccelerator Architecture. IEEE Micro 2024, 44: 106-115. DOI: 10.1109/mm.2024.3411881.Peer-Reviewed Original Research
2023
Brain imaging with portable low-field MRI
Kimberly W, Sorby-Adams A, Webb A, Wu E, Beekman R, Bowry R, Schiff S, de Havenon A, Shen F, Sze G, Schaefer P, Iglesias J, Rosen M, Sheth K. Brain imaging with portable low-field MRI. Nature Reviews Bioengineering 2023, 1: 617-630. PMID: 37705717, PMCID: PMC10497072, DOI: 10.1038/s44222-023-00086-w.Peer-Reviewed Original ResearchSparse k-space dataK-space dataImage reconstructionUseful diagnostic imagesReconstruction algorithmLow power requirementsNew applicationsLF-MRIDiagnostic imagesNew approachNew opportunitiesHardwareConventional systemMachineOngoing developmentPower requirementsAlgorithmImagesTechnological innovationFurther innovationNoise cancellationNoise ratioTechnologyRequirementsInformationLow‐field MRI: A report on the 2022 ISMRM workshop
Campbell‐Washburn A, Keenan K, Hu P, Mugler J, Nayak K, Webb A, Obungoloch J, Sheth K, Hennig J, Rosen M, Salameh N, Sodickson D, Stein J, Marques J, Simonetti O. Low‐field MRI: A report on the 2022 ISMRM workshop. Magnetic Resonance In Medicine 2023, 90: 1682-1694. PMID: 37345725, PMCID: PMC10683532, DOI: 10.1002/mrm.29743.Peer-Reviewed Original ResearchConceptsSoftware developmentComputational powerContemporary hardwareVirtual workshopHardwareEase of installationImage qualityEfficient acquisitionPortabilityNovel methodologyTechnical challengesInformation contentPortable systemInfrastructure challengesTechnologyCost reductionRadiology practiceOngoing developmentUnique capabilitiesBroader communityScientific contentChallengesImagesSystemFuture directionsDesign and realization of a multi‐coil array for B0 field control in a compact 1.5T head‐only MRI scanner
Theilenberg S, Shang Y, Ghazouani J, Kumaragamage C, Nixon T, McIntyre S, Vaughan J, Parkinson B, Garwood M, de Graaf R, Juchem C. Design and realization of a multi‐coil array for B0 field control in a compact 1.5T head‐only MRI scanner. Magnetic Resonance In Medicine 2023, 90: 1228-1241. PMID: 37145035, PMCID: PMC10330274, DOI: 10.1002/mrm.29692.Peer-Reviewed Original ResearchConceptsMulti-coil arraysMC arraysDuty cycleGeneration capabilityT headNonlinear magnetic fieldHigh duty cycleThermal behaviorBench testingField controlRamp timeResidual imperfectionField generationScanner designMagnetic fieldMC hardwareLinear gradientMRI scannerArrayCapabilityDesignHardwareImage encodingFieldMagnets
2022
Insights from incorporating quantum computing into drug design workflows
Lau B, Emani P, Chapman J, Yao L, Lam T, Merrill P, Warrell J, Gerstein M, Lam H. Insights from incorporating quantum computing into drug design workflows. Bioinformatics 2022, 39: btac789. PMID: 36477833, PMCID: PMC9825754, DOI: 10.1093/bioinformatics/btac789.Peer-Reviewed Original ResearchConceptsQuantum machine learningComputer-aided drug designMachine-learning moduleQuantum computing methodsCommercial quantum computersMachine learningJupyter notebooksNeural networkComputing methodClassical baselinesDesign workflowQML modelsQuantum hardwarePython codeAcademic useSupplementary dataQuantum computerWorkflowJudicious partitioningModuleHardwareGitHubClassical counterpartCase studyComputerMulti-tracer Deep Learning for PET Head Motion Correction
Lieffrig E, Zeng T, Zhang J, Fang X, Revilla E, Lu Y, Onofrey J. Multi-tracer Deep Learning for PET Head Motion Correction. 2022, 00: 1-4. DOI: 10.1109/nss/mic44845.2022.10399143.Peer-Reviewed Original ResearchCamera motion trackingHead motionMotion correction performanceHead motion correctionRigid head motionContinuous head motionTransform blockFeature-wiseSupervised learningDeep learningMotion correctionBrain positron emission tomographyMotion trackingTracking hardwareExternal devicesCorrect performanceImage qualityQuantification errorsPositron emission tomographyQualitative resultsCorrection resultsLearningTracer typeMotionHardwareTowards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science
Knoedler L, Baecher H, Kauke-Navarro M, Prantl L, Machens HG, Scheuermann P, Palm C, Baumann R, Kehrer A, Panayi AC, Knoedler S. Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science. Journal Of Clinical Medicine 2022, 11: 4998. PMID: 36078928, PMCID: PMC9457271, DOI: 10.3390/jcm11174998.Peer-Reviewed Original ResearchAutomated grading systemEarly fusion techniqueHigh-level accuracyImage datasetsLate fusionComputer scienceNeural networkFacial poseFusion techniqueSurgeon workflowAccuracy levelAlgorithmGrading processGrading systemWorkflowInsufficient accuracyFP patientsAccuracyAccuracy outcomesClassification formDepartment of PlasticSequential methodUniversity Hospital RegensburgFacial palsy patientsHardwareFeasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions
Barron D, Heisig S, Agurto C, Norel R, Quagan B, Powers A, Birnbaum M, Constable T, Cecchi G, Krystal J. Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions. Computational Psychiatry 2022, 6: 1. PMID: 38774775, PMCID: PMC11104416, DOI: 10.5334/cpsy.78.Peer-Reviewed Original Research
2021
Computerized technologies informing cardiac catheterization and guiding coronary intervention
Bajaj R, Parasa R, Ramasamy A, Makariou N, Foin N, Prati F, Lansky A, Mathur A, Baumbach A, Bourantas CV. Computerized technologies informing cardiac catheterization and guiding coronary intervention. American Heart Journal 2021, 240: 28-45. PMID: 34077744, DOI: 10.1016/j.ahj.2021.05.017.Peer-Reviewed Original ResearchConceptsUser-friendly softwareComputer-based technologiesComputer hardwareAccessible interfaceImage processingImaging dataGeneration of modelsComputerized technologyComputational fluid dynamics techniqueSoftwareFluid dynamics techniqueAbove advancesX-ray angiographyTechnologyHardwareSystemSilhouetteDynamics techniqueVessel geometryProcessingCapabilityDataInterfaceReliable evaluationAdvances
2020
Synthesis of fracture radiographs with deep neural networks
Chedid N, Sadda P, Gonchigar A, Langdon J, Porrino J, Haims A, Taylor RA. Synthesis of fracture radiographs with deep neural networks. Health Information Science And Systems 2020, 8: 21. PMID: 32537138, PMCID: PMC7261299, DOI: 10.1007/s13755-020-00111-x.Peer-Reviewed Original Research
2019
Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT
Abu Sayeed, Mohanty S, Kougianos E, Zaveri H. Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT. IEEE Transactions On Consumer Electronics 2019, 65: 359-368. DOI: 10.1109/tce.2019.2917895.Peer-Reviewed Original ResearchDiscrete wavelet transformSeizure detection systemDeep neural network classifierDetection systemNeural network classifierIoT frameworkSmart healthcareThings (IoT) frameworkHjorth parametersMachine learningNetwork classifierReal-time detectionWavelet transformStatistical featuresLoop approachSeizure detectionClassifierEEG signalsEEG dataIoMTFrameworkInternetHardwareMachineSecond stageRole of cone-beam CT augmented by navigational software in the single-session management of gastrointestinal hemorrhage and infected deep postoperative fluid collections
Cornman-Homonoff J, Madoff DC. Role of cone-beam CT augmented by navigational software in the single-session management of gastrointestinal hemorrhage and infected deep postoperative fluid collections. Clinical Imaging 2019, 57: 21-24. PMID: 31102778, DOI: 10.1016/j.clinimag.2019.04.011.Peer-Reviewed Case Reports and Technical NotesTracking organ doses for patient safety in radiation therapy
Muhammad W, Liang Y, Hart G, Nartowt B, Roffman D, Deng J. Tracking organ doses for patient safety in radiation therapy. 2019, 123-144. DOI: 10.1201/9781315207582-9.Peer-Reviewed Original ResearchGraphics processing unitsBig data approachBig dataSpecialized hardwareFrame bufferProcessing unitGraphic informationComputer gamingDigital imagingData approachEarly warningImage guidance proceduresMonte Carlo dose engineOrgan dosesDose trackingGPUHardwareMedicine LibraryDose engineGamingModern radiotherapyTrackingPrimary goalEngineCommunication
2018
Feasibility, Acceptability, and Adoption of Digital Fingerprinting During Contact Investigation for Tuberculosis in Kampala, Uganda: A Parallel-Convergent Mixed-Methods Analysis
White EB, Meyer AJ, Ggita JM, Babirye D, Mark D, Ayakaka I, Haberer JE, Katamba A, Armstrong-Hough M, Davis JL. Feasibility, Acceptability, and Adoption of Digital Fingerprinting During Contact Investigation for Tuberculosis in Kampala, Uganda: A Parallel-Convergent Mixed-Methods Analysis. Journal Of Medical Internet Research 2018, 20: e11541. PMID: 30442637, PMCID: PMC6265600, DOI: 10.2196/11541.Peer-Reviewed Original ResearchConceptsTechnology Acceptance Model 2Digital fingerprintingDigital fingerprintUnique patient identificationData integrityFingerprint captureSoftware leadFingerprint scannerPatient identificationHardware failureDigital technologiesBiometricsModest clusteringClusteringSocial imageTechnologyHousehold tuberculosis contact investigationRobust covariance estimatorPotential solutionsActual useGuide improvementFrameworkHardwareIndividual identificationTemporal characteristicsImplant Removal Matrix for the Foot and Ankle Orthopaedic Surgeon
Kaiser PB, Watkins I, Riedel MD, Cronin P, Briceno J, Kwon JY. Implant Removal Matrix for the Foot and Ankle Orthopaedic Surgeon. Foot & Ankle Specialist 2018, 12: 79-97. PMID: 30132700, DOI: 10.1177/1938640018791015.Peer-Reviewed Original Research
2016
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp S, Shimizu C, Burns J, Wright V, Png E, Hibberd M, Lloyd D, Yang H, Telenti A, Bloss C, Fox D, Lauter K, Ohno-Machado L. PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2016, 33: 871-878. PMID: 28065902, PMCID: PMC5860394, DOI: 10.1093/bioinformatics/btw758.Peer-Reviewed Original ResearchConceptsSoftware Guard ExtensionsHomomorphic encryptionDistributed ComputationCollaboration frameworkTrustworthy computationCollaboration modelSupplementary dataNetwork collaborationEncryptionExperimental resultsHealth informationAlternative solutionComputationInternational collaboration frameworkHardwareAccurate analysisPerformanceBioinformaticsImplementationFrameworkDataExtensionInformationCollaboration
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