Publications

 * refers to joined first authorship
 ⁺ refers to corresponding author (if not the last)

2024

• Pfefferbaum A, Sullivan EV, Pohl KM, Bischoff-Grethe A, Stoner SA, Moore EM, Riley EP: Brain Volume Deficits Persist in Fetal Alcohol Spectrum Disorders despite Normal Cortical Growth, JAMA Network Open, Accepted

• Pfefferbaum A, Zhao Q., Pohl KM, Sassoon SA, Zahr NM, Sullivan EV: Age-Accelerated Increase of White Matter Hyperintensity Volumes is Exacerbated by Heavy Alcohol Use in People Living with HIV, Biological Psychiatry, In press. [PUBMED]

• Kim S, An S, Chikontwe P, Kang M, Adeli E, Pohl KM, Park, S: Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection, AAAI Conference on Artificial Intelligence 2024, In Press. [PDF]

• Sassoon S, Farma R, Pohl KM, Pfefferbaum A, Sullivan EV: Frontal cortical volume deficits as enduring evidence of childhood abuse in community adults with AUD and HIV infection comorbidity, Neurobiology of Stress, 29, 100608, 2024

• Kang M, Kim S, Jin KH, Adeli E, Pohl KM, Park SH: FedNN: Federated Learning on Concept Drift Data using Weight and Adaptive Group Normalizations, Pattern Recognition, 149, 110230, 2024

• Ottino-González J, Cupertino RB, Cao Z, Hahn S, Pancholi D, Albaugh M, Brumback T, Baker FC, Brown SA, Clark DB, de Zambotti M, Goldston DB, Luna B, Nagel BJ, Nooner KB, Pohl KM*, Tapert SF, Thompson WK, Jernigan TL, Conrod P, Mackey S, Garava H. Brain structural covariance network features are robust markers of early heavy alcohol use, Addiction, 119(1), pp 113–124, 2024. [PDF][PUBMED]

2023

• Pfefferbaum A, Sullivan EV, Pohl KM, Bischoff-Grethe A, Stoner SA, Moore EM, Riley EP: Brain Volume in Fetal Alcohol Spectrum Disorders Over a 20-Year Span, JAMA Network Open, 6(11):e2343618, 2023. [PDF] [PUBMED]

• Ouyang J, Zhao Q, Adeli E, Peng W, Zaharchuk G, Pohl KM: LSOR: Longitudinally-Consistent Self-Organized Representation Learning, Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, 14220, pp 279–289, 2023. [PDF] [PUBMED] [CODE] [VIDEO]

• Peng W, Adeli E, Bosschieter T, Park SH, Zhao Q, Pohl KM: Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model, Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, 14227, pp 14–24, 2023. [PDF] [PUBMED] [CODE] [VIDEO]

• Wang Y, Peng W, Tapert S, Zhao Q, Pohl KM. Imputing Brain Measurements Across Data Sets via Graph Neural Networks. Predictive Intelligence in Medicine, Lecture Notes in Computer Science, 14277, pp 172–183, 2023 [PDF] [PUBMED] [CODE] [VIDEO]

• Kang M, Chikontwe P, Soopil K, Jin KH, Adeli E, Pohl KM, Park SH: One-shot Federated Learning on Medical Data using Knowledge Distillation with Image Synthesis and Client Model Adaptation, Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, 14221, pp. 521–531, 2023. [PDF] [CODE] [PUBMED] [VIDEO]

• Nerrise F, Zhao Q, Poston K, Pohl KM, Adeli E: An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment, Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science, 14221, pp 723–733, 2023. [PDF] [PUBMED] [CODE] [VIDEO]

• Piekarski J, Zahr NM, Zhao Q, Ferizi U, Pohl KM, Sullivan EV, Pfefferbaum A: White matter microstructural integrity continues to develop from adolescence to young adulthood in mice and humans: Same phenotype, different mechanism, Neuroimage: Reports, 3(3), 100179, 2023. [PDF] [PUBMED]

• Alzueta E*, Podhajsky S*, Zhao Q*, Tapert SF, Thompson WK, de Zambotti M, Yuksel D, Kiss O, Wang R, Volpe L, Prouty D, Colrain IM, Clark DB, Goldston DB, Nooner KB, De Bellis MD, Brown SA, Nagel BJ, Pfefferbaum A, Sullivan EV, Baker FC, Pohl KM: Risk for Depression Tripled during COVID-19 Pandemic in Emerging Adults Followed for the Last 8 Years, Psychological Medicine, 53(5), pp. 2156-63, 2023. [PDF] [PUBMED][DATA]

• Ferizi U, Műller-Oehring EM, Peterson ET, Pohl KM: The distortions of the free water model for diffusion MRI data when assuming single compartment relaxometry and proton density, Physics in Medicine and Biology, 68, 05NT01, 2023. [PDF][PUBMED]

• Bolzenius J, Sacdalan C, Ndhlovu L, Sailasuta N, Trautmann L, Tipsuk S, Crowell T, Suttichom D, Colby D, Phanuphak N, Chan P, Premeaux T, Kroon E, Vasan S, Hsu D, Valcour V, Ananworanich J, Robb M, Ake J, Pohl KM, Sriplienchan S, Spudich S, Paul R: Brain Volumetrics Differ by Fiebig Stage in Acute HIV Infection, AIDS, 37(6), pp. 861-9, May 1, 2023.[PUBMED]

• Sullivan EV, Zahr NM, Sassoon SA, Pohl, KM, Pfefferbaum A: Postural instability in HIV infection: relation to central and peripheral nervous system markers, AIDS, 37(7), pp. 1085-96, 2023. [PUBMED]

• Fama R, Müller-Oehring EM, Levine TF, Sullivan EV, Sassoon SA, Asok P, Brontë-Stewart HM, Poston KL, Pohl KM, Pfefferbaum A, Schulte T: Episodic memory deficit in HIV infection: common phenotype with Parkinson’s disease, different neural substrates. Brain Structure and Function, 228(3-4), pp. 845-58, 2023. [PDF] [PUBMED]

• Mukerji, SS, Petersen KJ, Pohl KM, Dastgheyb RM, Fox HS, Bilder RM, Brouillette M-J, Gross AL, Scott-Sheldon LAJ, Paul RH, Gabuzda D: Machine learning approaches to understand cognitive phenotypes in people with HIV, The Journal of Infectious Diseases, Volume 227, Issue Supplement_1, pp. S48–S57, 2023. [PDF][PUBMED]

2022

• Ouyang J, Zhao Q, Adeli E, Sullivan EV, Pfefferbaum A, Zaharchuk G, Pohl KM: Self-supervised Learning of Neighborhood Embedding for Longitudinal MRI, Medical Image Analysis, Vol 82,102571, 2022. [PDF] [PUBMED][DATA]

• Pfefferbaum A, Sullivan EV, Zahr NM, Pohl KM, Saranathan M: Multi-atlas thalamic nuclei segmentation on standard T1-weighed MRI with application to normal aging, Human Brain Mapping, 1– 17, doi: 10.1002/hbm.26088, 2022. [PDF] [PUBMED]

• Zuki ́D, Haley A, Lisle C, Klo J, Pohl KM, Johnson HJ, Chaudhary A: Medical Image Quality Assurance using Deep Learning, Medical Imaging with Deep Learning, Proceedings of Machine Learning Research, 2022. [PDF][CODE] [VIDEO]

• Honnorat N, Fama R, Műller-Oehring EM, Pfefferbaum A, Sullivan EV, Pohl KM: Alcohol Use Disorder and its Comorbidity with HIV Infection Disrupt Anterior Cingulate Cortex Functional Connectivity, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(11), pp. 1127-36, 2022. [PDF][PUBMED]

• Infante MA, Eberson SC, Zhang Y, Brumback T, Brown SA, Colrain IM, Baker FC, Clark DB, De Bellis M, Goldston D, Nagel BJ, Nooner KB, Zhao Q, Pohl KM, Sullivan EV, Pfefferbaum A, Tapert SF, Thompson WK: Adolescent binge drinking is associated with accelerated decline of gray matter volume, Cerebral Cortex, 32(12), pp. 2611-20, 2022. [PDF] [PUBMED]

• Ouyang J*, Zhao Q*, Adeli E, Zaharchuk G, Pohl KM: Disentangling Normal Aging from Severity of Disease via Weak Supervision on Longitudinal MRI, IEEE Transactions on Medical Imaging, 41(10), pp. 2558-69, 2022. [CODE][PUBMED][PDF]

• Zhao Q*, Wang K*, Kiss O*, Yuksel D, De Zambotti M, Clark DB, Goldston D, Nooner KB, Brown SA, Tapert SF, Thompson WK, Nagel BJ, Pfefferbaum A, Sullivan EV, Pohl⁺ KM, Baker FC: Earlier Bedtime and Effective Coping Skills Predict a Return to Low-Risk of Depression in Young Adults during the COVID-19 Pandemic, International Journal of Environmental Research and Public Health, 19(16), 10300, 2022. [PDF][PUBMED][DATA]

• Paschali M, Kiss O, Zhao Q, Adeli E, Podhajsky S, Müller-Oehring EM, Gotlib IH, Pohl KM, Baker FC: Detecting Negative Valence Symptoms in Adolescents based on Longitudinal Self-Reports and Behavioral Assessments, Journal of Affective Disorders, vol 312, pp 30-38, 2022. [PDF][PUBMED]

• Paschali M, Zhao Q, Adeli E, Pohl KM: Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing, Predictive Intelligence in Medicine, Springer, Lecture Notes in Computer Science, 13564, pp 13–23, 2022. [PDF] [CODE] [VIDEO] [PUBMED]

• Li Y, Wei Q, Adeli E, Pohl K, Zhao Q: Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 13431, pp 231–240, 2022.[PDF] [CODE][VIDEO][PUBMED][DATA]

• Singla A, Zhao Q, Do DK, Zhou Y, Pohl KM, Adeli E: Multiple Instance Neuroimage Transformer, Predictive Intelligence in Medicine, Springer, Lecture Notes in Computer Science, 13564, pp 36–48, 2022.[PDF][CODE][VIDEO][PUBMED]

• Endo M, Poston K, Sullivan E, Fei-Fei L, Pohl KM, Adeli E: GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 13438, pp 130–39, 2022. [PDF] [CODE][PUBMED]

• Vento A, Zhao Q, Paul R, Pohl KM, Adeli E: A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 13433, pp 387–97, 2022. [PDF] [CODE][PUBMED]

• Sullivan EV, Thompson WK, Brumback T, Prouty D, Tapert SF, Brown SA, De Bellis MD, Nooner KB, Baker FC, Colrain IM, Clark DB, Nagel BJ, Pohl KM, Pfefferbaum A: Prior Test Experience Confounds Longitudinal Tracking of Adolescent Cognitive and Motor Development, BMC Medical Research Methodology, 22:177, 2022.[PDF] [PUBMED][DATA]

• Pelham WE, Yuksel D, Baker FC, Tapert SF, Pohl KM, Thompson, WK, Podhajsky S, Reuter C, Zhao Q, Eberson-Shumate SC, Clark DB, Goldston DB, Nagel BJ, Nooner KB, Brown SA: Did the acute impact of the COVID-19 pandemic on drinking or nicotine use persist? Evidence from a cohort of emerging adults followed for up to nine years, Addictive Behaviors, 131, 107313, 2022. [PDF][PUBMED][DATA]

• Kiss O, Alzueta E, Yuksel D, Pohl KM, de Zambotti M, Műller‐Oehring EM, Prouty D, Durley I, Pelham III WE, McCabe JC, Gonzalez MR, Brown SA, Wade NE, Marshall AT, Sowell ER, Breslin FJ, Lisdahl KM, Dick AS, Sheth CS, McCandliss BD, Guillaume MJ, Van Rinsveld VA, Dowling GJ, Tapert SF, Baker FC: The pandemic’s toll on young adolescents: Prevention and intervention targets to preserve their mental health, Journal of Adolescent Health, 70(3), pp. 387-395, 2022. [PDF][PUBMED]

• Lannoy S, Pfefferbaum A, Le Berre A-P, Thompson WT, Brumback T, Schulte T, Pohl KM, De Bellis MD, Nooner KB, Baker FC, Prouty D, Colrain IM, Nagel BJ, Brown SA, Clark DB, Tapert SF, Sullivan EV, Müller-Oehring EM: Growth trajectories of cognitive and motor control in adolescence: How much is development and how much is practice?, Neuropsychology, 36(1), pp 44-54, 2022. [PDF] [PUBMED][DATA]

• Zhang J*, Zhao Q*, Adeli E, Pfefferbaum A, Sullivan EV, Paul R, Valcour V, Pohl KM: Multi-Label, Multi-Domain Learning Identifies Compounding Effects of HIV and Cognitive Impairment, Medical Image Analysis, vol 75, 102246, 2022. [PDF][PUBMED]
  

2021

• Zhao Q, Sullivan EV, Műller-Oehring EM, Honnorat N, Adeli E, Podhajsky S, Baker FC, Colrain IM, Prouty D, Tapert SF, Brown SA, Meloy MJ, Brumback T, Nagel BJ, Morales AJ, Clark DB, Luna B, De Bellis MD, Nooner KB, Voyvodic JT, Pfefferbaum A, Pohl KM: Adolescent Alcohol Use Disrupts Functional Neurodevelopment in Sensation Seeking Girls, Addiction Biology, 26(2), e12914, 2021. [PDF][PUBMED][DATA]

• Fama R, Le Berre A-P, Sassoon S, Zahr NM, Pohl KM, Pfefferbaum A, Sullivan EV: Memory Impairment in Alcohol Use Disorder is Associated with Regional Frontal Brain Volumes, Drug and Alcohol Dependence, vol 228, 109058, 2021. [PDF][PUBMED]

• Zhao Q, Adeli E, Pohl KM: Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, vol 12907, pp 400-409, 2021. [PDF][PUBMED][VIDEO][CODE][DATA]

• Ouyang J, Zhao Q, Adeli E, Sullivan EV, Pfefferbaum A, Zaharchuk G, Pohl KM: Self-Supervised Longitudinal Neighbourhood Embedding, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, vol 12902, pp 80-89, 2021. [PDF][PUBMED][CODE][VIDEO]

• Butskova A, Juhl R, Zukic D, Chaudhary A, Pohl KM, Zhao Q: Adversarial Bayesian Optimization for Quantifying Motion Artifact within MRI, 4th Workshop on PRedictive Intelligence in MEdicine (PRIME), Springer-Verlag, Lecture Notes in Computer Science, vol 12928, pp 83-92, 2021.[PDF][VIDEO][CODE][PUBMED]

• Lu M, Zhao Q, Poston KL, Sullivan EV, Pfefferbaum A, Shahid M, Katz M, Kouhsari LM, Schulman K, Milstein A, Niebles JC, Henderson V, Pohl KM, Li FF, Adeli E: Quantifying Parkinson’s Disease Motor Severity Under Uncertainty Using MDS-UPDRS Videos, Medical Image Analysis, vol 73, 102179, 2021. [PDF][PUBMED][MEDIA] [CODE]

• Lu M, Zhao Q, Zhang J, Pohl KM, Li FF, Niebles JC, Adeli E: Metadata Normalization, Conference on Computer Vision and Pattern Recognition, pp. 10917-10927, 2021. [PDF][PUBMED][VIDEO][CODE]

• Liu Z, Adeli E, Pohl KM, Zhao Q: Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models, Information Processing in Medical Imaging, Lecture Notes in Computer Science,vol 12729, pp. 71-82, 2021. [PDF][PUBMED][VIDEO][CODE]

• Ouyang J, Adeli E, Pohl KM, Zhao Q, Zaharchuk G: Representation Disentanglement for Multi-modal MR Analysis, Information Processing in Medical Imaging, Lecture Notes in Computer Science, Lecture Notes in Computer Science, vol 12729, pp. 321-333, 2021. [PDF][PUBMED][VIDEO][CODE]

• Zahr NM, Pohl KM, Kwong A, Sullivan EV, Pfefferbaum A: Preliminary Evidence for a Relationship between Elevated Plasma TNF and a Subcortical White Matter Volume Deficit in HIV and HCV Infection, International Journal of Molecular Sciences, 22(9), 4953, 2021. [PDF][PUBMED]

• Zhao Q, Sullivan EV, Honnorat N, Adeli E, Podhajsky S, De Bellis MD, Nooner KB, Voyvodic J, Baker FC, Colrain IM, Tapert SF, Brown SA, Thompson WK, Nagel BJ, Clark DB, Pfefferbaum A, Pohl KM: Association of Heavy Drinking with Deviant Fiber Tract Development in Frontal Brain Systems in Young Adolescents, JAMA Psychiatry, 78(4), pp. 407 – 415, 2021. [PDF][PUBMED][MEDIA][DATA]

• Zhao Q*, Liu Z*, Adeli E, Pohl KM: Longitudinal Self-Supervised Learning, Medical Image Analysis, Volume 71, 102051, 2021. [PDF] [PUBMED][CODE]

• Ouyang J, Zhao Q, Sullivan EV, Pfefferbaum A, Tapert SF, Adeli E, Pohl KM: Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs, IEEE Journal of Biomedical and Health Informatics, 25(6), pp. 2082-2092, 2021.[PDF][PUBMED]

• Sullivan EV, Zhao Q, Pohl KM, Zahr NM, Pfefferbaum A: Attenuated Cerebral Blood Flow in Frontolimbic and Insular Cortices in Alcohol Use Disorder: Relation to Working Memory, Journal of Psychiatric Research, 136, pp. 140 -148, 2021.[PDF][PUBMED]

• Zahr NM, Pohl KM, Sullivan EV, Pfefferbaum A: Age Differences in Brain Structural and Metabolic Responses to Binge Ethanol Exposure in Fisher 344 Rats, Neuropharmacology, 46(2), pp. 368-379, 2021. [PDF] [PUBMED]

• Adeli E*, Zhao Q*, Pfefferbaum A, Sullivan EV, Li FF, Niebles JC, Pohl KM: Representation Learning with Statistical Independence to Mitigate Bias, IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 2513-2523, 2021. [PDF][PUBMED][VIDEO][CODE]

• Honnorat N, Saranatha M, Sullivan EV, Pfefferbaum A, Pohl KM, Zahr NM: Performance ramifications of abnormal functional connectivity of ventral posterior lateral thalamus with cerebellum in abstinent individuals with Alcohol Use Disorder, Drug and Alcohol Dependence, Volume 220, 108509, 2021. [PDF][PUBMED]

• Zhao Q, Pohl KM, Sullivan EV, Pfefferbaum A, Zahr NM: Jacobian mapping reveals converging substrates of disruption and repair in response to ethanol exposure and abstinence in two strains of rats, Alcoholism: Clinical and Experimental Research, vol 45, pp. 92-104, 2021. [PDF][PUBMED]

2020

• Zhao Q*, Adeli E*, Pohl KM: Training Confounder-Free Deep Learning Models for Medical Applications, Nature Communications, 11, 6010, 2020. [PDF] [PUBMED][CODE]

• Adeli E*, Zhao Q*, Zahr NM, Goldstone A, Pfefferbaum, Sullivan EV, Pohl KM: Deep Learning Identifies Morphological Determinants of Sex Differences in the Pre-Adolescent Brain, NeuroImage, 223, 117293, 2020. [PDF][PUBMED][CODE]

• Zhao Q, Pfefferbaum A, Podhajsky S, Pohl KM, Sullivan EV: Accelerated Aging and Motor Control Deficits are Related to Regional Deformation of Central Cerebellar White Matter in Alcohol Use Disorder. Addiction Biology, 25:e12746, 2020. [PDF] [PUBMED]

• Adeli E, Li X, Kwon D, Zhang Y, Pohl K: Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 42, Issue 7, pp. 1713-1728, 2020. [PDF] [PUBMED][CODE]

• Kwon D, Pfefferbaum A, Sullivan EV, Pohl KM: Regional Growth Trajectories of Cortical Myelination in Adolescents and Young Adults: Longitudinal Validation and Functional Correlates. Brain Imaging and Behavior, 14(1), pp 242-266, 2020. [PDF][PUBMED][CODE][DATA]

• Gadgil S*, Zhao Q*, Pfefferbaum A, Sullivan EV, Adeli E, Pohl KM: Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis, Medical Image Computing and Computer Assisted Intervention, Springer, Lecture Notes in Computer Science, vol 12267, pp 528-538, 2020. [PDF][VIDEO][PUBMED][CODE]

• Lu M, Poston K, Pfefferbaum A, Sullivan EV, Li FF, Pohl KM, Niebles JC, Adeli E: Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity, Medical Image Computing and Computer Assisted Intervention, Springer, Lecture Notes in Computer Science, 12263, pp 637-647, 2020. [PDF][VIDEO][PUBMED][CODE]

• Ayub R, Zhao Q, Meloy MJ, Pefferbaum A, Sullivan EV, Adeli E, Pohl KM: Inpainting Cropped Diffusion MRI Using Deep Generative Models, Predictive Intelligence in Medicine, Springer, Lecture Notes in Computer Science, 12329, pp 91-100, 2020. [PDF][VIDEO][PUBMED][CODE]

• Honnorat N, Pfefferbaum A, Sullivan EV, Pohl KM: Deep Parametric Mixtures for Modeling the Functional Connectome, Predictive Intelligence in Medicine, Springer, Lecture Notes in Computer Science, 12329, pp 133-143, 2020. [PDF][VIDEO][PUBMED]

• Zahr NM, Lenart AM, Karpf JA, Casey KM, Pohl KM, Sullivan EV, Pfefferbaum A: Multi-modal Imaging Reveals Differential Brain Volumetric, Biochemical, and White Matter Fiber Responsivity to Repeated Intermittent Ethanol Vapor Exposure in Male and Female Rats, Neuropharmacology, 170, 108066, 2020. [PDF][PUBMED]

• Sullivan EV, Moore EM, Lane B, Pohl KM, Riley EP, Pfefferbaum A: Graded Cerebellar Lobular Volume Deficits in Adolescents and Young Adults with Fetal Alcohol Spectrum Disorders (FASD), Cerebral Cortex, 30(9), pp 4729–4746, 2020. [PDF][PUBMED]

• Zahr NM, Sullivan EV, Pohl KM, Pfefferbaum A, Saranathan M: Sensitivity of Ventrolateral Posterior Thalamic Nucleus to Back Pain in Alcoholism and CD4 nadir in HIV. Human Brain Mapping, 41, pp 1351 -1361, 2020. [PDF][PUBMED]

• Sullivan EV, Brumback T, Tapert S, Brown SA, Baker FC, Colrain IM, Prouty D, De Bellis MD, Clark DB, Nagel BJ, Pohl KM, Pfefferbaum A: Disturbed Cerebellar Growth Trajectories in Adolescents Who Initiate Alcohol Drinking, Biological Psychiatry, 87(7), pp 632-644, 2020. [PDF][PUBMED][COMMENT][DATA 1][DATA 2]

2019

• Adeli E, Zahr, NM, Pfefferbaum A, Sullivan EV, Pohl KM: Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and their Comorbidity of Individuals. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4(6), pp 589-599, 2019 [PDF] [PUBMED][COMMENT]

• Sullivan EV, Zahr NM, Saranathan M, Pohl KM, Pfefferbaum A: Convergence of Three Parcellation Approaches Demonstrating Cerebellar Lobule Volume Deficits in Alcohol Use Disorder. NeuroImage: Clinical, 24, 101974, 2019. [PDF][PUBMED]

• Zahr NM, Pohl KM, Pfefferbaum A, Sullivan EV: Dissociable Contributions of Precuneus and Cerebellum to Subjective and Objective Neuropathy in HIV. Journal of Neuroimmune Pharmacology, 14(3), pp 436-447, 2019. [PDF][PUBMED]

• Hagler, DJ, Hatton SN, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HG, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SRB, Wolff-Hughes DL, DelCarmen-Wiggins R, Feldstein Ewing SW, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD , Desikan R, Li Y,Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro JF, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DF, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM: Image Processing and Analysis Methods for the Adolescent Brain Cognitive Development Study, NeuroImage, vol 202, 2019. [PDF][PUBMED]

• Leng T, Zhao Q, Yang C, Lu Z, Adeli E, Pohl KM: Data Augmentation based on Substituting Regional MRI Volume Scores, Large-scale Annotation of Biomedical data and Expert Label Synthesis, Springer, Lecture Notes in Computer Science, 11851, pp. 32-41, 2019. [PDF][PUBMED]

• Honnorat N, Adeli E, Zhao Q, Pfefferbaum A, Sulivan E, Pohl KM: Covariance Shrinkage for Dynamic Functional Connectivity, 3rd Workshop on Connectomics in NeuroImaging, Springer, Lecture Notes in Computer Science, vol. 11848, pp 32-41, 2019. [PDF][PUBMED]

• Zhao Q*, Adeli E*, Pfefferbaum A, Sullivan EV, Pohl KM: Confounder-Aware Visualization of ConvNets, International Workshop on Machine Learning and Medical Imaging, Springer, Lecture Notes in Computer Science, 11861, pp 328 – 336, 2019. [PDF][PUBMED][CODE]

• Zhao Q, Honnorat N, Adeli E, Leng T, Pohl KM: Variational Autoencoder for Regression: Application to Brain Aging Analysis, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 11765, pp 823 – 31, 2019. [PDF][PUBMED][CODE]

• Zahr NM, Pohl KM, Pfefferbaum A, Sullivan EV: CNS Correlates of “Objective Neuropathy” in Alcohol Use Disorder, Alcoholism: Clinical and Experimental Research, 43(10), pp 2144-52, 2019. [PDF][PUBMED]

• Fama R, Sasson SA, Le Berre AP, Zahr NM, Pohl KM, Pfefferbaum A, Sullivan EV: Relations between Cognitive and Motor Deficits and Regional Brain Volumes in Individuals with Alcoholism, Brain Structure and Function, 224(6), pp 2087-2101, 2019. [PDF][PUBMED]

• Zhao Q, Honnorat N, Adeli E, Pfefferbaum A, Sullivan EV, Pohl KM: Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis, The 26th biennial International Conference on Information Processing in Medical Imaging, Lecture Notes in Computer Science, 11492, pp 867–879, 2019. [PDF][PUBMED][CODE]

• Zhao Q, Kwon D, Müller-Oehring EM, Le Berre AP, Pfefferbaum A, Sullivan EV, Pohl KM: Longitudinally Consistent Estimates of Intrinsic Functional Networks, Human Brain Mapping, 40 (8), pp. 2511-2528, 2019. [PDF][PUBMED][CODE][DATA]

• Peterson E, Kwon D, Luna B, Larsen B, Pouty D, De Bellis M, Voyvodic J, Liu C, Li W, Pohl KM, Sullivan EV, Pfefferbaum A.: Distribution of Brain Iron Accrual in Adolescence: Evidence from Cross-Sectional and Longitudinal Analysis, Human Brain Mapping, 40, pp. 1480–1495, 2019. [PDF][PUBMED][DATA 1][DATA 2][DATA 3][DATA 4]

2018

• Zhao Q, Fritz M, Pfefferbaum A, Sullivan EV, Pohl KM, Zahr NM: Jacobian Maps Reveal Under-reported Brain Regions Sensitive to Extreme Binge Ethanol Intoxication in the Rat, Frontiers in Neuroanatomy, 12(108), pp 1. -13, 2018. [PDF] [PUBMED]

• Pfefferbaum A, Zahr NM, Sassoon SA, Kwon D, Pohl KM, Sullivan EV: Accelerating and Premature Aging Characterizing Regional Cortical Volume Loss in Human Immunodeficiency Virus Infection: Contributions from Alcohol, Substance Use, and Hepatitis C Co-Infection, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(10), pp. 844-859, 2018. [PDF] [PUBMED]

• Adeli E, Kwon D, Zhao Q, Pfefferbaum A, Zahr NM, Sullivan EV, Pohl KM: Chained Regularization for Identifying Brain Patterns Specific to HIV Infection, NeuroImage, 183, 425 -437, 2018. [PDF] [PUBMED][CODE]

• Sullivan EV, Zahr NM, Sassoon SA, Thompson WK, Kwon D, Pohl KM, Pfefferbaum A: The Role of Aging, Drug Dependence and Hepatitis C Comorbidity in Alcoholism Cortical Compromise, JAMA Psychiatry, 75(5), pp. 474 – 483, 2018. [PDF] [PUBMED][COMMENT]

• Goldstone A, Willoughby A, de Zambotti M, Frenzen PL, Kwon D, Pohl KM, A. Pfefferbaum, Sullivan EV, Müller-Oehring EM, Prouty D, Hasler BP, Clark DB, Colrain IM, Baker FC: The Mediating Role of Cortical Thickness and Gray Matter on Sleep Slow Wave Activity During Adolescence, Brain Structure and Function, 223(2), pp. 669-685, 2018. [PDF] [PUBMED]

• Adeli E, Kwon D, Pohl, KM: Multi-Label Transduction for Identifying Disease Comorbidity Patterns, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 11072, pp 575–583, 2018. [PDF][PUBMED][CODE]

• Zhao Q, Kwon, D, Pohl KM: A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag,Lecture Notes in Computer Science, 11072, pp 145–153, 2018. [PDF] [PUBMED][CODE]

• Esmaeilzadeh S, Belivanis DI, Pohl KM, Adeli, E: End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification, International Workshop on Machine Learning in Medical Imaging, Springer-Verlag, Lecture Notes in Computer Science, 11046, pp 337–345, 2018 [PDF] [PUBMED]

• Park SH, Zhang Y, Kwon D, Zhao Q, Zahr N, Pfefferbaum A, Sullivan E, Pohl, KM: Alcohol Use Effect on Adolescent Brain Development Revealed by Simultaneously Removing Confounding Factors, identifying morphometric patterns, and classifying individuals, Scientific Reports, 8 (8297), pp. 1-14, 2018. [PDF] [PUBMED]

• Pfefferbaum A, Kwon D, Brumback T, Cummins K, Tapert SF, Brown SA, Colrain IM, Baker FC, Prouty D, De Bellis MD, Clark DB, Nagel BJ, Chu W, Park SH, Pohl KM, Sullivan EV: Altered Brain Developmental Trajectories in Adolescents after Initiating Drinking, American Journal of Psychiatry, 175(4), pp. 370-380, 2018. [PDF] [PUBMED][DATA][Supplement]

• Bernardis E, Zhang Y, Konukoglu E, Ou Y, Javitz HS, Axel L, Metaxas D, Desjardins B, Pohl KM: eCurves: A Temporal Shape Encoding, IEEE Transactions on Biomedical Engineering, 65(4), pp 733-744,2018. [PDF] [PUBMED]

• Müller-Oehring EM, Kwon D, Nagel BJ, Sullivan EV, Chu W, Rohlfing T, Prouty D, Nichols N, Poline J-B, Tapert SF, Brown SA, Cummins K, Brumback T, Colrain IM, Baker FC, De Bellis MD, Voyvodic J, Clark DB, Pfefferbaum DB, Pohl KM: Influences of Age, Sex, and Moderate Alcohol Drinking on the Intrinsic Functional Architecture of Adolescent Brains, Cerebral Cortex,28(3), pp 1049-1063, 2018. [PDF] [PUBMED] [DATA]

2017

• Sullivan EV, Lane B, Kwon D, Meloy MJ, Tapert SF, Brown SA, Colrain IM, Baker FC, De Bellis MD, Clark DB, Nagel BJ, Pohl KM, A. Pfefferbaum: Structural Brain Anomalies in Healthy Adolescents in the NCANDA Cohort: Relation to Neuropsychological Test Performance, Sex, and Ethnicity, Brain Imaging and Behavior, 11, pp 1302-1315,2017. [PDF] [PUBMED]

• Yang D, Wu P, Tan C, Pohl KM, Axel L, Metaxas D: 3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI, International Conference on Functional Imaging and Modeling of the Heart, pp 481-492, 2017. [PDF] [PUBMED]

• Clark DB, Chung T, Martin CS, Hasler BP, Fitzgerald DH, Luna B, Brown SA, Tapert SF, Brumback T, Cummins K, Pfefferbaum A, Sullivan EV, Pohl KM, Colrain IM, Baker FC, De Bellis MD, Nagel BJ, Adolescent Executive Dysfunction in Daily Life: Relationships to Risks, Brain Structure and Substance Use, Frontiers in Behavioral Neuroscience, 11, 223, 2017. [PDF] [PUBMED]

• Niethammer M, Pohl KM, Janoos F, Wells WM: Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi models, SIAM Journal on Imaging Sciences, 10(3), pp 1069-1103, 2017. [PDF] [PUBMED]

• Hasler BP, Franzen PL, de Zambotti M, Prouty D, Brown SA, Tapert SF, Pfefferbaum A, Pohl KM, Sullivan EV, De Bellis MD, Nagel BJ, Baker FC, Colrain IM, Clark DB: Eveningness and Later Sleep Timing are associated with Greater Risk for Alcohol and Marijuana Use in Adolescence: Initial findings from the NCANDA study, Alcoholism: Clinical and Experimental Research, 41(6), pp 1154-1165, 2017. [PDF] [PUBMED]

• Sullivan EV, Brumback T, Tapert SF, Prouty D, Fama R, Thompson W, Brown SA, Cummins K, Colrain IM, Baker FC, Clark DB, Chung T, De Bellis MD, Hooper S, Nagel BJ, Chu W, Kwon D,Pohl KM,Pfefferbaum A: Effects of Prior Testing Lasting a Full Year in NCANDA Adolescents: Contributions from Age, Sex, Socioeconomic Status, Ethnicity, Site, Family History of Alcohol or Drug Abuse,and Baseline Performance, Developmental Cognitive Neuroscience, 24, pp 72–83, 2017. [PDF] [PUBMED] [DATA]

• Zhang Y, Kwon D, Pohl KM: Computing Group Cardinality Constraint Solutions for Logistic Regression Problems, Medical Image Analysis, 35, pp 58-69, 2017. [PDF] [PUBMED]

2016

• Zhang Y, Park S, Pohl KM: Joint Data Harmonization and Group Cardinality Constrained Classification, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 9900, pp 282–290, 2016. [PDF] [PUBMED]

• Zhang Y, Kwon D, Esmaeili-Firidouni PE, Pfefferbaum A, Sullivan EV, Javitz H, Valcour V, Pohl KM: Extracting Patterns of Morphometry Distinguishing HIV Associated Neurodegeneration from Mild Cognitive Impairment via Group Cardinality Constrained Classification, Human Brain Mapping, 37(12), pp 4523-4538, 2016. [PDF] [PUBMED]

• Pohl KM, Sullivan EV, Rohlfing T, Chu W, Kwon D, Nichols BN, Zhang Y, Brown SA, Tapert SF, Cummins K, Thompson WK, Brumback T, Colrain IM, Baker FC, Prouty D, De Bellis MD, Voyvodic JT, Clark DB, Schrida C, Nagel BJ, Pfefferbaum A: Harmonizing DTI Measurements Across Scanners to Examine the Development of White Matter Microstructure in 803 adolescents of the NCANDA study, NeuroImage, 130, pp 194-213, 2016. [PDF] [PUBMED] [DATA]

• Sullivan EV, Brumback T, Tapert SF, Fama R, Prouty D, Brown SA, Cummins K, Thompson WK, Colrain IM, Baker FC, De Bellis MD, Hooper SR, Clark DB, Chung T, Nagel B, Nichols BN, Rohlfing T, Chu W, Pohl KM, Pfefferbaum A: Cognitive, Emotion Control, and Motor Performance of Adolescents in the NCANDA Study: Contributions from Alcohol Consumption, Age, Sex, Ethnicity, and Family History of Addiction, Neuropsychology, 30(4), pp 449-473, 2016. [PDF] [PUBMED]

• Pfefferbaum A, Rohlfing T, Pohl KM, Lane B, Chu W, Kwon D, Brown SA, Tapert SF, Cummins K, Thompson WK, Brumback T, Meloy MJ, Jernigan TL, Dale A, Colrain IM, Baker FC, Prouty D, De Bellis MD, Voyvodic JT, Clark DB, Luna B, Chung T, Nagel B, Sullivan EV: Adolescent Development of Cortical and White Matter Structure in the NCANDA Sample: Role of Sex, Ethnicity, Puberty, and Alcohol Drinking, Cerebral Cortex, 26(10), pp 4101-21, 2016. [PDF] [PUBMED] [DATA]

2015

• Nichols BN, Pohl KM: Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community, Neuropsychology Review, 25(3), pp 356-68, 2015. [PDF] [PUBMED]

• Brown SA, Brumback T, Tomlinson K, Cummins K, Thompson WK, Nagel BJ, De Bellis MD, Hooper SR, Clark DB, Chung T, Hasler BP, Colrain IM, Baker FB, Prouty D, Pfefferbaum A, Sullivan EV, Pohl KM, Rohlfing T, Nichols BN, Chu W, Tapert SF: The National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA): A Multi-Site Study of Adolescent Development and Substance Use, Journal of Studies on Alcohol and Drugs, 76(6), pp. 895-908, 2015. [PDF] [PUBMED] [DATA]

• Zhang Y, Pohl KM: Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 9351, pp. 459-466, 2015. [PDF] [PUBMED]

2014

• Pfefferbaum A, Rosenbloom MJ, Chu W, Sassoon SA, Rohlfing T, Pohl KM, Zahr NM, Sullivan EV: White Matter Microstructural Recovery with Abstinence and Decline with Relapse in Alcoholism: a Controlled Longitudinal DTI Study, The Lancet Psychiatry, 1(3), pp 202–212, 2014. [PDF] [PUBMED]

• Ye DH, Desjardins B, Hamm J, Litt H, Pohl KM. Regional Manifold Learning for Disease Classification, IEEE Transactions on Medical Imaging, 33(6), pp 1236–1247, 2014. [PDF] [PUBMED]

• Kwon D, Niethammer M, Akbari H, Billelo M, Davatzikos C, Pohl KM: PORTR: Pre-operative and Post-recurrence Brain Tumor Registration, IEEE Transactions on Medical Imaging, 33(3), pp 651–667, 2014. [PDF] [PUBMED]

• Ye DH, Desjardins B, Ferrari V, Metaxas D, Pohl KM: Auto-encoding of Discriminating Morphometry from Cardiac MRI, IEEE International Symposium on Biomedical Imaging, pp 217-221, 2014. [PDF] [PUBMED]

2013

• Konukoglu E, Glocker B, Criminisi A, Pohl KM: WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(9), pp. 2284-2297, 2013. [PDF] [PUBMED]

• Ye DH, Hamm J, Desjardins B, Pohl KM: FLOOR: Fusing Locally Optimal Registrations, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 8151, pp 195-202, 2013. [PDF] [PUBMED]

• Uzunbas MG, Chen C, Zhang S, Pohl KM, Li K, Metaxas D: Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 8150, pp 157-164, 2013. [PDF] [PUBMED]

• Bernardis E, Pohl KM, Davatzikos C: Extracting Evolving Pathologies via Spectral Clustering, IPMI 2013:The 23rd Biennial International Conference on Information Processing in Medical Imaging, Springer-Verlag, Lecture Notes in Computer Science, 7917, pp 680-691, 2013. [PDF] [PUBMED]

• Tunc B, Smith A, Wassermann D, Pennec X, Wells WM, Verma R, Pohl KM: Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering, Information Processing in Medical Imaging, Springer-Verlag, Lecture Notes in Computer Science, 7917, pp 730-741, 2013. [PDF] [PUBMED]

2012

• Konukoglu E, Glocker B, Ye DH, Criminisi A, Pohl KM: Discriminative Segmentation Based Evaluation through Shape Dissimilarity, IEEE Transactions on Medical Imaging, 31(12), pp 2278-89, 2012. [PDF] [PUBMED]

• Gooya A, Pohl KM, Billelo M, Cirillo L, Biros G, Melhem ER, Davatzikos C: GLISTR: Glioma Image Segmentation and Registration, IEEE Transactions on Medical Imaging, 31(10), pp 1941-54, 2012. [PDF] [PUBMED]

• Bernardis E, Konukoglu E, Ou Y, Metaxas D, Desjardins B, Pohl KM: Temporal Shape Analysis via the Spectral Signature, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 7511, pp 49-56, 2012. [PDF] [PUBMED]

• Ye DH, Hamm J, Davatzikos C, Pohl KM: Regional Manifold Learning for Deformable Registration of Brain MR Images, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 7512, pp 131-138, 2012. [PDF] [PUBMED]

• Ou Y, Ye DH, Pohl KM, Davatzikos C: Validation of DRAMMS among 12 Popular Methods in Cross-subject Cardiac MRI Registration, Fifth Workshop on Biomedical Image Registration, Springer-Verlag, Lecture Notes in Computer Science, 7359, pp 209-219, 2012. [PDF] [PUBMED]

• Ye DH, Hamm J, Pohl KM: Combining Regional Metrics for Disease-Related Brain Population Analysis, IEEE International Symposium on Biomedical Imaging, pp 1515- 1518, 2012. [PDF] [PUBMED]

• Jayender J, Vosburgh KG, Gombos E, Ashraf A, Kontos D, Gavenonis SC, Jolesz FA, Pohl KM: Automatic Segmentation of Breast Carcinomas from DCE-MRI using a Statistical Learning Algorithm,IEEE International Symposium on Biomedical Imaging, pp122-125, 2012. [PDF] [PUBMED]

• Uzunbas MG, Zhang S, Pohl KM, Metaxas D, Axel L: Segmentation of Myocardium using Deformable Regions and Graph Cuts, IEEE International Symposium on Biomedical Imaging, pp 254 - 257, 2012. [PDF] [PUBMED]

• Kwon D, Yun D, Pohl KM, Davatzikos C, Lee SU: Nonrigid Volume Registration using a Second-order MRF Model, IEEE International Symposium on Biomedical Imaging, pp 708 - 711 2012. [PDF] [PUBMED]

• Eckl J, Daum V, Hornegger J, Pohl KM: Guiding Non-rigid Registration via Learning and Landmarks,IEEE International Symposium on Biomedical Imaging, pp 704 - 707, 2012. [PDF] [PUBMED]

2011

• Pohl KM, Konukoglu E, Novellas S, Ayache N, Fedorov A, Talos I-F, Golby A, Wells WM, Kikinis R, Black PM: A New Metric for Detecting Change in Slowly Evolving Brain Tumors: Validation in Meningioma Patients, Neurosurgery, Mar;68(1 Suppl Operative), pp 225-33, 2011. [PDF] [PUBMED]

• Fedorov A, Li X, Pohl KM, Bouix S, Styner M, Addicott M, Wyatt C, Daunais JB, Wells WM, Kikinis R: Atlas-guided segmentation of vervet monkey brain MRI, Special Issue on Neuroimaging of non-human Primates in Open Neuroimage Journal, 5(Suppl 2-M7), pp186-197, 2011. [PDF] [PUBMED]

• Gooya A, Pohl KM, Bilello MI, Biros G, Davatzikos C: Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 6892, pp 532-540,2011. [PDF] [PUBMED]

• Gaonkar B, Pohl KM, Davatzikos C: Pattern Based Morphometry, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 6892, pp 459-466, 2011. [PDF] [PUBMED]

• Gaonkar B, Erus G, Pohl KM, Tanwar M, Margiewicz S, Bryan RN, Davatzikos C: Automated Segmentation of Cortical Necrosis using a Wavelet Based Abnormality Detection System, IEEE International Symposium on Biomedical Imaging, pp 1391- 1395, 2011. [PDF] [PUBMED]

• Ye DH, Pohl KM, Davatzikos C: Semi-Supervised Pattern Classification: Application to Structural MRI of Alzheimer’s Disease, IEEE International Workshop on Pattern Recognition in NeuroImaging, pp 1-4, 2011. [PDF] [PUBMED]

• Ye DH, Litt H, Davatzikos C, Pohl KM: Morphological classification: Application to Cardiac MRI of Tetralogy of Fallot, International Conference on Functional Imaging and Modeling of the Heart, Springer-Verlag, Lecture Notes in Computer Science, 6666, pp 180-187, 2011. [PDF] [PUBMED]

• Batmanghelich N, Ye DH, Pohl KM, Taskar B, Davatzikos C: Disease Classification and Prediction via Semi-Supervised Dimensionality Reduction, IEEE International Symposium on Biomedical Imaging, pp 1086 - 1090, 2011. [PDF] [PUBMED]

2010

• Syeda-Mahmood T, Turaga R, Beymer D, Wang F, Amir A, Greenspan H, Pohl KM. Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support, IEEE Conference on Computer Vision and Pattern Recognition, pp 855-862, 2010. [PDF] [PUBMED]

• Chen K, Zhang Y, Pohl KM, Syeda-Mahmood T, Song Z, Wong STC: Coronary Artery Segmentation using Geometric Moments Based Tracking and Snake-Driven Refinement,2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp 3133-3137, 2010. [PDF] [PUBMED]

• Amir A, Beymer D, Grace J, Greenspan H, Gruhl D, Hobbs A, Pohl KM, Syeda-Mahmood T, Terdiman J, Wang F: AALIM: A Cardiac Clinical Decision Support System Powered by Advanced Multi-Modal Analytics, Medical Informatics, Studies in Health Technology and Informatics, 160, pp 846-850, 2010. [PDF] [PUBMED]

• Ye DH, Pohl KM, Litt H, Davatzikos C: Groupwise Morphometric Analysis Based on High Dimensional Clustering, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, pp 47-54, 2010. [PDF] [PUBMED]

Prior 2010

• Pohl KM, Sabuncu MR: A Unified Framework for MR Based Disease Classification, Information Processing in Medical Imaging, Springer-Verlag, Lecture Notes in Computer Science, 5636, pp 300-313, 2009. [PDF] [PUBMED]

• Konukoglu E, Wells WM, Novellas S, Ayache N, Kikinis R, Black PM, Pohl KM. Monitoring Slowly Evolving Tumors, The Fifth IEEE International Symposium on Biomedical Imaging, pp 812 -815, 2008. [PDF] [PUBMED]

• Vosburgh KG, Stoll J, Noble V, Pohl KM, Estepar RSJ, Takacs B: Image Registration Assists Novice Operators in Ultrasound Assessment of Abdominal Trauma, Medicine Meets Virtual Reality 16, Studies in Health Technology and Informatics, 132, pp 532 - 537, IOS Press, 2008. [PDF] [PUBMED]

• Pohl KM, Fisher J, Bouix S, Shenton ME, McCarley RW, Grimson WEL, Kikinis R, Wells WM: Using the Logarithm of Odds to Define a Vector Space on Probabilistic Atlases, Medical Image Analysis,11(6), pp 465-477, 2007. [PDF] [PUBMED]

• Pohl KM, Bouix S, Nakamura M, Rohlfing T, McCarley RW, Kikinis R, Grimson WEL, Shenton ME, Wells WM: A Hierarchical Algorithm for MR Brain Image Parcellation, IEEE Transaction on Medical Imaging, 26(9), pp 1201-1212, 2007. [PDF] [PUBMED]

• Pohl KM, Kikinis R, Wells WM: Active mean fields: Solving the Mean Field Approximation in the Level Set Framework, Information Processing in Medical Imaging, Springer-Verlag, Lecture Notes in Computer Science, 4584, pp 26-37, 2007. [PDF] [PUBMED]

• Nakamura M, Salisbury DF, Hirayasu Y, Bouix S, Pohl KM, Yoshida T, Koo MS, Shenton ME, McCarley RW: Neocortical Gray Matter Volume in First Episode Schizophrenia and First Episode Affective Psychosis: A Cross-Sectional and Longitudinal MRI study, Biological Psychiatry, 62(7), pp 773-83, 2007. [PDF] [PUBMED]

• Koo M-S, Dickey CC, Shenton ME, Ji NY, Bouix S, Pohl KM, Levitt JJ, Nakamura M, McCarley RW: Smaller Neocortical Gray Matter and Larger Sulcal CSF volumes in Neuroleptic-naive Females with Schizotypal Personality Disorder, Archives of General Psychiatry, 63, pp 1090-1100, 2006. [PDF] [PUBMED]

• Pohl KM, Fisher J, Grimson WEL, Kikinis R, Wells WM: A Bayesian Model for Joint Segmentation and Registration, NeuroImage, 31(1), pp 228-239, 2006. [PDF] [PUBMED]

• Pohl KM, Fisher J, Shenton M, McCarley RW, Grimson WEL, Kikinis R, Wells WM: Logarithm Odds Maps for Shape Representation, Medical Image Computing and Computer-Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 4191, pp 955-963, 2006. [PDF] [PUBMED]

• Pohl KM, Fisher J, Levitt JJ, Shenton ME, Kikinis R, Grimson WEL, Wells WM: A Unifying Approach to Registration, Segmentation, and Intensity Correction, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 3749, pp 310-318, 2005. [PDF] [PUBMED]

• Pohl KM, Bouix S, Shenton ME, Grimson WEL, Kikinis R: Automatic Segmentation using Non-Rigid Registration, Short communications of MICCAI 2005: Eighth International Conference on Medical Image Computing and Computer Assisted Intervention, 2005. [PDF]

• Pohl KM, Fisher J, Kikinis R, Grimson WEL, Wells WM: Shape based Segmentation of Anatomical Structures in Magnetic Resonance Images, Computer Vision for Biomedical Image Applications: Current Techniques and Future Trend, An International Conference on Computer Vision Workshop, Springer-Verlag, Lecture Notes in Computer Science, 3765, pp 489-498, 2005. [PDF] [PUBMED]

• Pohl KM, Warfield SK, Kikinis R, Grimson WEL, Wells WM: Coupling Statistical Segmentation and PCA Shape Modeling, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 3216, pp 151–9, 2004. [PDF] [PUBMED]

• Pohl KM, Bouix S, Kikinis R, Grimson WEL: Anatomical Guided Segmentation with Non-stationary Tissue Class Distributions in an Expectation-maximization Framework, IEEE International Symposium on Biomedical Imaging, pp 81 – 84, 2004. [PDF] [PUBMED]

• Pohl KM, Wells WM, Guimond A, Kasai K, Shenton ME, Kikinis R, Grimson WEL, Warfield SK: Incorporating non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images, Medical Image Computing and Computer Assisted Intervention, Springer-Verlag, Lecture Notes in Computer Science, 2488, pp 564-572, 2002. [PDF] [PUBMED]