Voluntary Faculty
Voluntary faculty are typically clinicians or others who are employed outside of the School but make significant contributions to department programs at the medical center or at affiliate institutions.
Voluntary rank detailsDavid Carlson, MD
Clinical ProfessorDownloadHi-Res Photo
About
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Titles
Clinical Professor of Psychiatry, Psychiatry; Training and Supervising Analyst, Western New England Institute for Psychoanalysis
Appointments
Education & Training
- Resident
- Yale (1962)
- MD
- Yale University (1958)
Research
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Overview
Medical Research Interests
Character; Empathy; Humanities; Mental Processes; Personality Development; Psychological Theory
Research at a Glance
Publications Timeline
A big-picture view of David Carlson's research output by year.
24Publications
281Citations
Publications
2025
Scale-free and unbiased transformer with tokenization for cell type annotation from single-cell RNA-seq data
Zhang H, Jiang Z, Zhang S, Tu L, Carlson D. Scale-free and unbiased transformer with tokenization for cell type annotation from single-cell RNA-seq data. Pattern Recognition 2025, 168: 111724. DOI: 10.1016/j.patcog.2025.111724.Peer-Reviewed Original ResearchCitationsConceptsSingle-cell RNA-seq dataHigh-throughput single-cell RNA sequencingGene pathway informationCell type annotationRNA-seq dataSingle-cell datasetsSingle-cell RNA sequencingGene expression vectorScRNA-seqPathway informationDiverse speciesRNA sequencingExpression vectorAnnotation methodGene expressionDropout eventsExpression patternsGenesSpeciesType annotationsAnnotationCellsComprehensive intra-Cell levelSequenceApplications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Hickman S, Kelp M, Griffiths P, Doerksen K, Miyazaki K, Pennington E, Koren G, Iglesias-Suarez F, Schultz M, Chang K, Cooper O, Archibald A, Sommariva R, Carlson D, Wang H, West J, Liu Z. Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research. Geoscientific Model Development 2025, 18: 8777-8800. DOI: 10.5194/gmd-18-8777-2025.Peer-Reviewed Original ResearchCitationsAltmetricConceptsTropospheric Ozone Assessment ReportTropospheric Ozone ResearchOzone researchAtmospheric chemistryOzone forecastsOzone estimatesOzone concentrationsRemote sensingTroposphereOperational applicationsAssessment ReportOzonePrecursor speciesActive areaAdjacent fieldsComprehensive synthesisChemistryClimate resilienceClimateForecastingCritical areasAn Inhibitor of Death-Associated Protein Kinase 3 (DAPK3) Disrupts Hippo Signaling and Intestinal Epithelial Regeneration in Murine DSS-Induced Colitis
Chen H, Carlson D, Haystead T, MacDonald J. An Inhibitor of Death-Associated Protein Kinase 3 (DAPK3) Disrupts Hippo Signaling and Intestinal Epithelial Regeneration in Murine DSS-Induced Colitis. Digestive Diseases And Sciences 2025, 1-13. PMID: 41201700, DOI: 10.1007/s10620-025-09505-x.Peer-Reviewed Original ResearchConceptsDeath-associated protein kinase 3Yes-Associated ProteinIntestinal epithelial cellsIntestinal epithelial regenerationProtein kinase 3Hippo signalingRegulation of actin cytoskeleton organizationEpithelial wound healingPhosphorylation of Yes-associated proteinCaco-2 human intestinal epithelial cellsActin cytoskeleton organizationHippo pathway signalingEpithelial regenerationHuman intestinal epithelial cellsIEC proliferationMurine modelMucosal biopsiesBiopsies of UC patientsMurine DSS-induced colitisMurine models of experimental colitisCytoskeleton organizationCytoskeletal remodelingGenetic linkageTranscriptome dataHippo pathwaySleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain
Walder-Christensen K, Goffinet J, Bey A, Syed R, Benton J, Mague S, Adamson E, Vera S, Soliman H, Kansagra S, Carlson D, Dzirasa K. Sleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain. ENeuro 2025, 12: eneuro.0291-25.2025. PMID: 41027731, PMCID: PMC12587468, DOI: 10.1523/eneuro.0291-25.2025.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsBrain regionsRapid eye movementSleep-wake statesNon-REM sleepEmotion regulation regionsBrain dynamicsAssociated with emotionsSleep-promoting medicationsPatterns of spectral powerEmotion dysregulationEmotion regulationStress manipulationSubcortical activityBrain networksSubcortical regionsCognitive functionLocal field potentialsEmotional functioningBrain oscillationsSleep disturbanceNeural dynamicsEye movementsSleep-wakeEmotionsSpectral powerNeighborhood Environmental and Contextual Factors Improve Prediction of Childhood Body Mass Index: An Application of Novel Graph Neural Networks.
Li K, Wood C, Nichols L, Calhoun Z, Bhavsar N, Carlson D. Neighborhood Environmental and Contextual Factors Improve Prediction of Childhood Body Mass Index: An Application of Novel Graph Neural Networks. AJE Advances Research In Epidemiology 2025, 1 PMID: 41127247, PMCID: PMC12539641, DOI: 10.1093/ajeadv/uuaf011.Peer-Reviewed Original ResearchConceptsBody mass indexChildren Aged 6Mass indexParticipant dataChildhood body mass indexBody mass index dataDuke University Health SystemNeighborhood-level interventionsAged 6Electronic health recordsContextual factorsUniversity Health SystemIndividual-level factorsChildhood obesityHealth recordsHealth systemDurham CountyAdult cardiovascular diseaseBody mass index predictionDiverse populationsGraph neural networksRisk factorsCardiovascular diseaseNeighborhood effectsNorth CarolinaUse of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli
Isaev D, Major S, Carpenter K, Grapel J, Chang Z, Di Martino M, Carlson D, Dawson G, Sapiro G. Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli. Scientific Reports 2025, 15: 30963. PMID: 40846872, PMCID: PMC12373809, DOI: 10.1038/s41598-025-10511-2.Peer-Reviewed Original ResearchAltmetricConceptsMachine learning modelsHuman annotatorsLearning modelsComputer vision featuresMulti-layer perceptronVision-based featuresSupervised machine learning modelsComputer vision analysisHead poseVision featuresInattention detectionAutomatic toolHuman attentionVision analysisModel adaptationResearch communityElectroencephalography recordingsVideoVideo cameraComputerAnnotationReceiver operating characteristic curveOperating characteristics curveVisual stimuliPerceptronMOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation
Liu Y, Shi W, Fu C, Jiang Z, Hua Z, Carlson D. MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation. 2025, 1891-1902. DOI: 10.1145/3711896.3737056.Peer-Reviewed Original ResearchAn RF-CNN pipeline for predicting PM2.5 concentration in Sri Lanka
Attanayake G, Senarathna M, Bergin M, Carlson D, Bhave P, Bowatte G, Harischandra N. An RF-CNN pipeline for predicting PM2.5 concentration in Sri Lanka. Journal Of Hazardous Materials Advances 2025, 19: 100782. DOI: 10.1016/j.hazadv.2025.100782.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPM2.5 concentrationsData quality scoresLow-cost PM2.5 sensorsLow-cost sensor dataPM2.5 levelsPM2.5 variationsConvolutional neural networkPM2.5 sensorsPM2.5Air pollutionSatellite imagesSri LankaMeteorological parametersExtensive monitoringSpatiotemporal fluctuationsForestClimate zonesSatellite imageryNeural networkRandom forestRoot mean square errorConcentrationEfficient monitoringK-nearest neighbor methodMean square errorEfficient few-shot medical image segmentation via self-supervised variational autoencoder
Zhou Y, Zhou F, Xi F, Liu Y, Peng Y, Carlson D, Tu L. Efficient few-shot medical image segmentation via self-supervised variational autoencoder. Medical Image Analysis 2025, 104: 103637. PMID: 40449308, DOI: 10.1016/j.media.2025.103637.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsFew-shot medical image segmentationMedical image segmentationUnlabeled imagesVariational autoencoderImage segmentationMulti-modality medical image datasetEnd-to-end modelDice scoreFully-supervised methodsMedical image datasetsSelf-supervised learningImproving feature extractionEnd-to-endSecond-best methodSegmentation taskFeature extractionImage datasetsData augmentationSource codePrevent overfittingTraining dataReconstruction taskStructural priorsSegmentation qualityLabeled atlasesBig, noisy data: how scalable Gaussian processes can leverage personal weather stations to improve spatiotemporal coverage of urban climate networks
Calhoun Z, Bergin M, Carlson D. Big, noisy data: how scalable Gaussian processes can leverage personal weather stations to improve spatiotemporal coverage of urban climate networks. 2025 DOI: 10.5194/icuc12-491.Peer-Reviewed Original ResearchConceptsGaussian process regressionPersonal weather stationsFlexible machine learning techniquesScalable Gaussian processesWeather stationsMachine learning techniquesLow-cost sensorsGaussian processClimate monitoringComplex spatiotemporal dependenciesNearest neighbor Gaussian processLearning techniquesPWS dataLarge datasetsMachine learningNoisy dataScalable approximationDensity of weather stationsSensor placementSensor measurementsSpatiotemporal datasetsUrban climate networkDatasetUrban heat stressProcess regression
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