2023
Fast Reconstruction Enhances Deep Learning PET Head Motion Correction
Zeng T, Chen F, Zhang J, Lieffrig E, Cai Z, Naganawa M, You C, Lu Y, Onofrey J. Fast Reconstruction Enhances Deep Learning PET Head Motion Correction. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338189.Peer-Reviewed Original ResearchTeacher’s PET: Semi-supervised Deep Learning for PET Head Motion Correction
Zeng T, You C, Cai Z, Lieffrig E, Zhang J, Chen F, Lu Y, Onofrey J. Teacher’s PET: Semi-supervised Deep Learning for PET Head Motion Correction. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10337834.Peer-Reviewed Original ResearchMotion tracking methodHead motion correctionMotion trackingExtra hardwareMotion estimatesTracking methodSemi-supervised deep learningSupervised deep learning methodsQuality training dataDeep learning methodsMean teacher modelSemi-supervised mannerMotion correctionMotion detectionHead motionCorrection networkDeep learningInaccurate quantitative resultsTraining dataLearning methodsBetter generalizationMotionLow resolutionCorrection resultsPerformanceCross-Attention for Improved Motion Correction in Brain PET
Cai Z, Zeng T, Lieffrig E, Zhang J, Chen F, Toyonaga T, You C, Xin J, Zheng N, Lu Y, Duncan J, Onofrey J. Cross-Attention for Improved Motion Correction in Brain PET. Lecture Notes In Computer Science 2023, 14312: 34-45. PMID: 38174216, PMCID: PMC10758996, DOI: 10.1007/978-3-031-44858-4_4.Peer-Reviewed Original ResearchDeep learning networkCross-attention mechanismDeep learning benchmarksMotion correctionTraining data domainPET list-mode dataPET image reconstructionQuality of reconstructionData domainCross attentionLearning networkSupervised mannerLearning benchmarksReference imageMotion trackingInherent informationList-mode dataImage reconstructionBrain PET dataPrediction resultsDifferent scannersHead motionImproved motion correctionNetworkSpatial correspondenceFast Reconstruction for Deep Learning PET Head Motion Correction
Zeng T, Zhang J, Lieffrig E, Cai Z, Chen F, You C, Naganawa M, Lu Y, Onofrey J. Fast Reconstruction for Deep Learning PET Head Motion Correction. Lecture Notes In Computer Science 2023, 14229: 710-719. PMID: 38174207, PMCID: PMC10758999, DOI: 10.1007/978-3-031-43999-5_67.Peer-Reviewed Original ResearchInterrater reproducibility of the Myoton and durometer devices to quantify sclerotic chronic graft-versus-host disease
Ghosh S, Baker L, Chen F, Khera Z, Vain A, Zhang K, Hood A, Smith H, Chen H, Jagasia M, Tkaczyk E. Interrater reproducibility of the Myoton and durometer devices to quantify sclerotic chronic graft-versus-host disease. Archives Of Dermatological Research 2023, 315: 2545-2554. PMID: 37227518, DOI: 10.1007/s00403-023-02626-1.Peer-Reviewed Original ResearchConceptsSkin sclerosisChronic graftHost diseaseAnatomic sitesAllogeneic hematopoietic stem cell transplantationHematopoietic stem cell transplantationSclerotic chronic graftLong-term survivorsStem cell transplantationConfidence intervalsCGVHD treatmentSclerotic cGvHDSevere complicationsSkin scoreCurrent gold standardCell transplantationTherapeutic responseClinical reproducibilityCGVHDDorsal forearmMyotonSclerosisVolar forearmHealthy participantsMean pairwise differenceHyperspectral imaging to accurately segment skin erythema and hyperpigmentation in cutaneous chronic graft‐versus‐host disease
Saknite I, Kwun S, Zhang K, Hood A, Chen F, Kangas L, Kortteisto P, Kukkonen A, Spigulis J, Tkaczyk E. Hyperspectral imaging to accurately segment skin erythema and hyperpigmentation in cutaneous chronic graft‐versus‐host disease. Journal Of Biophotonics 2023, 16: e202300009. PMID: 36942511, DOI: 10.1002/jbio.202300009.Peer-Reviewed Original ResearchEnhanced characterization of breast cancer phenotypes using Raman micro-spectroscopy on stainless steel substrate
Thomas G, Fitzgerald S, Gautam R, Chen F, Haugen E, Rasiah P, Adams W, Mahadevan-Jansen A. Enhanced characterization of breast cancer phenotypes using Raman micro-spectroscopy on stainless steel substrate. Analytical Methods 2023, 15: 1188-1205. PMID: 36799369, DOI: 10.1039/d2ay01764d.Peer-Reviewed Original ResearchConceptsStainless steel substratesStainless steelSteel substrateRaman spectroscopySteelRaman signalRaman signal intensityCalcium fluoride substratesLaser powerFluoride substratesSignal qualityFundamental understandingStrong Raman signalNoise ratioSubstrateCost-effective alternativeEnhanced characterizationRaman spectraSignals
2022
805 Segmentation of cutaneous chronic graft-versus-host disease by a deep learning neural network
McNeil A, Parks K, Liu X, Saknite I, Chen F, Reasat T, Wheless L, Dawant B, Tkaczyk E. 805 Segmentation of cutaneous chronic graft-versus-host disease by a deep learning neural network. Journal Of Investigative Dermatology 2022, 142: s140. DOI: 10.1016/j.jid.2022.05.819.Peer-Reviewed Original ResearchArtificial intelligence recognition of cutaneous chronic graft‐versus‐host disease by a deep learning neural network
McNeil A, Parks K, Liu X, Saknite I, Chen F, Reasat T, Cronin A, Wheless L, Dawant B, Tkaczyk E. Artificial intelligence recognition of cutaneous chronic graft‐versus‐host disease by a deep learning neural network. British Journal Of Haematology 2022, 197: e69-e72. PMID: 35322873, PMCID: PMC9197858, DOI: 10.1111/bjh.18141.Peer-Reviewed Original Research
2021
Optimal Biomechanical Parameters for Measuring Sclerotic Chronic Graft-Versus-Host Disease
Baker L, Chen F, Cronin A, Chen H, Vain A, Jagasia M, Tkaczyk E. Optimal Biomechanical Parameters for Measuring Sclerotic Chronic Graft-Versus-Host Disease. JID Innovations 2021, 1: 100037. PMID: 34790906, PMCID: PMC8594905, DOI: 10.1016/j.xjidi.2021.100037.Peer-Reviewed Original ResearchCGVHD patientsBiomechanical parametersChronic Graft-VersusSclerotic chronic graftHost disease patientsBackward stepwise selectionChronic graftGraft-VersusSclerotic cGvHDHost diseaseUnivariable analysisTransplant controlsDisease patientsAnatomic sitesPatientsDisease severityLogistic regressionSclerotic diseaseBiomechanical studyDiscriminatory abilityLASSO regressionCharacteristic curveMyotonometerStepwise selectionDiseaseDifferentiation of erythematous and post-inflammatory pigment changes in cutaneous chronic graft-versus-host disease by hyperspectral imaging
Saknīte I, Kwun S, Liu X, Zhang K, Hood A, Chen F, Kangas L, Kukkonen A, Kortteisto P, Byrne M, Jagasia M, Tkaczyk E. Differentiation of erythematous and post-inflammatory pigment changes in cutaneous chronic graft-versus-host disease by hyperspectral imaging. 2021, 15. DOI: 10.1117/12.2578532.Peer-Reviewed Original Research
2020
Longitudinal tracking of skin dynamic stiffness to quantify evolution of sclerosis in chronic graft-versus-host disease
Baker LX, Chen F, Ssempijja Y, Byrne M, Kim TK, Vain A, Jagasia M, Tkaczyk ER. Longitudinal tracking of skin dynamic stiffness to quantify evolution of sclerosis in chronic graft-versus-host disease. Bone Marrow Transplantation 2020, 56: 989-991. PMID: 33279941, PMCID: PMC8117134, DOI: 10.1038/s41409-020-01158-w.Peer-Reviewed Original Research18323 Diagnostic potential of five different biomechanical parameters to detect sclerotic cutaneous graft-versus-host disease
Ssempijja Y, Chen F, Wang L, Vain A, Jagasia M, Tkaczyk E. 18323 Diagnostic potential of five different biomechanical parameters to detect sclerotic cutaneous graft-versus-host disease. Journal Of The American Academy Of Dermatology 2020, 83: ab98. DOI: 10.1016/j.jaad.2020.06.478.Peer-Reviewed Original Research18038 Reproducibility of Myoton and durometer devices to quantify skin stiffness and hardness in sclerotic chronic graft-versus-host disease
Wang L, Chen F, Vain A, Ssempijja Y, Dellalana L, Zhang K, Hood A, Chen H, Jagasia M, Tkaczyk E. 18038 Reproducibility of Myoton and durometer devices to quantify skin stiffness and hardness in sclerotic chronic graft-versus-host disease. Journal Of The American Academy Of Dermatology 2020, 83: ab90. DOI: 10.1016/j.jaad.2020.06.447.Peer-Reviewed Original Research867 Direct mechanical measurements of skin to quantify evolution of sclerotic disease
Baker L, Chen F, Ssempijja Y, Dellalana L, Vain A, Jagasia M, Tkaczyk E. 867 Direct mechanical measurements of skin to quantify evolution of sclerotic disease. Journal Of Investigative Dermatology 2020, 140: s113. DOI: 10.1016/j.jid.2020.03.883.Peer-Reviewed Original Research
2019
Interobserver Reproducibility of the Myoton and Durometer Devices to Measure Skin Stiffness and Hardness in Chronic Cutaneous Graft-Versus-Host Disease Patients
Chen F, Wang L, Vain A, Ssempijja Y, Dellalana L, Zhang K, Hood A, Chen H, Jagasia M, Tkaczyk E. Interobserver Reproducibility of the Myoton and Durometer Devices to Measure Skin Stiffness and Hardness in Chronic Cutaneous Graft-Versus-Host Disease Patients. Blood 2019, 134: 4515. DOI: 10.1182/blood-2019-129125.Peer-Reviewed Original ResearchIntraclass correlation coefficientCGVHD patientsInterobserver intraclass correlation coefficientSkin stiffness measurementsCutaneous cGVHDInterobserver reproducibilityChronic cutaneous graftCutaneous Graft-VersusHealth Chronic GraftSkin stiffnessHost disease patientsProgression of sclerosisStiffness measurementLongitudinal studyProspective longitudinal studyMinimal detectable changeTherapeutic response measuresDetectable changeChronic graftGraft-VersusHost diseaseSclerotic cGvHDSkin sclerosisCutaneous graftDisease patientsDiagnostic Potential of Five Different Biomechanical Parameters to Detect Sclerotic Cutaneous Graft-Versus-Host Disease
Chen F, Wang L, Ssempijja Y, Vain A, Jagasia M, Tkaczyk E. Diagnostic Potential of Five Different Biomechanical Parameters to Detect Sclerotic Cutaneous Graft-Versus-Host Disease. Blood 2019, 134: 2002. DOI: 10.1182/blood-2019-129381.Peer-Reviewed Original ResearchCGVHD patientsBMT controlsCross-sectional studyHost diseaseSkin sclerosisSkin scoreBiomechanical parametersSclerotic patientsCutaneous Graft-VersusPost-BMT patientsMechanical stress relaxation timeHigh diagnostic yieldProspective longitudinal studyChronic graftGraft-VersusGVHD patientsSkin involvementUnaffected skinUnivariate analysisHealthy controlsMultivariate predictive modelClinician assessmentDiagnostic yieldTreatment responseResponse assessmentCrowdsourcing to delineate skin affected by chronic graft‐vs‐host disease
Tkaczyk E, Coco J, Wang J, Chen F, Ye C, Jagasia M, Dawant B, Fabbri D. Crowdsourcing to delineate skin affected by chronic graft‐vs‐host disease. Skin Research And Technology 2019, 25: 572-577. PMID: 30786065, PMCID: PMC6719554, DOI: 10.1111/srt.12688.Peer-Reviewed Original ResearchConceptsChronic graftHost diseaseAffected skinPercent body surface areaBody surface areaBoard-certified dermatologistsCurrent clinical standardMedian Dice indexCGVHD patientsPrimary outcomeImportant unmetAffected surface areaThree-dimensional photographsClinical standardsFleiss' kappaDiseaseSkinGraftPractical managementWeak correlationHigh agreementKappaConsensus delineationPatients
2018
Reproducibility of the durometer and myoton devices for skin stiffness measurement in healthy subjects
Dellalana L, Chen F, Vain A, Gandelman J, Põldemaa M, Chen H, Tkaczyk E. Reproducibility of the durometer and myoton devices for skin stiffness measurement in healthy subjects. Skin Research And Technology 2018, 25: 289-293. PMID: 30414198, PMCID: PMC6546306, DOI: 10.1111/srt.12646.Peer-Reviewed Original ResearchConceptsInterobserver intraclass correlation coefficientOverall stiffnessIntraclass correlation coefficientHealthy subjectsMinimal detectable changeSkin stiffness measurementsDisease progressionMyotonClinical assessmentTreatment efficacyDorsal forearmUpper armVolar forearmIndustrial devicesMeasure of reproducibilityBiomechanical parametersStiffness measurementSingle observerStiffness parametersSkin stiffnessDetectable changeFurther investigationForearmStiffnessCoefficient of variationNon-invasive measurement of sclerosis in cutaneous cGVHD patients with the handheld device Myoton: a cross-sectional study
Chen F, Dellalana L, Gandelman J, Vain A, Jagasia M, Tkaczyk E. Non-invasive measurement of sclerosis in cutaneous cGVHD patients with the handheld device Myoton: a cross-sectional study. Bone Marrow Transplantation 2018, 54: 616-619. PMID: 30287938, PMCID: PMC6872187, DOI: 10.1038/s41409-018-0346-7.Peer-Reviewed Original Research