Fast robust automated brain extraction

Snakes: Active contour models

Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,330

Cortical Surface-Based Analysis

Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628

A global optimisation method for robust affine registration of brain images

Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018

Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013

Normalized Accurate Measurement of Longitudinal Brain Change

Smith, S. M., Stefano, N. D., Jenkinson, M., & Matthews, P. M. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200105000-00022 · Cited by 489

Elastic model-based segmentation of 3-D neuroradiological data sets

Kelemen, A., Szekely, G., & Gerig, G. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.811260 · Cited by 434

Fully automatic segmentation of the brain in MRI

Atkins, M. S., & Mackiewich, B. T. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668699 · Cited by 397

Automatic detection of brain contours in MRI data sets

Brummer, M. E., Mersereau, R. M., Eisner, R. L., et al. (1993) · IEEE Transactions on Medical Imaging · doi:10.1109/42.232244 · Cited by 298

3-D segmentation of MR images of the head for 3-D display

Bomans, M., Höhne, Κ. H., Tiede, U., et al. (1990) · IEEE Transactions on Medical Imaging · doi:10.1109/42.56342 · Cited by 282

Relationship between suicidality and impulsivity in bipolar I disorder: a diffusion tensor imaging study

Mahon, K., Burdick, K. E., Wu, J., Ardekani, B. A., & Szeszko, P. R. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.00984.x · Cited by 131

Attachment in the brain: adult attachment representations predict amygdala and behavioral responses to infant crying.

Riem, M. M. E., Bakermans-Kranenburg, M. J., van IJzendoorn, M. H., Out, D., & Rombouts, S. A. R. B. (2012) · Attachment & Human Development · doi:10.1080/14616734.2012.727252 · Cited by 134

Implications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age

Graham, A. M., Buss, C., Rasmussen, J. M., Rudolph, M. D., Demeter, D. V., Gilmore, J. H., Styner, M., Entringer, S., Wadhwa, P. D., & Fair, D. A. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.09.006 · Cited by 122

Neural systems for executive and emotional processing are modulated by symptoms of posttraumatic stress disorder in Iraq War veterans

Morey, R. A., Petty, C. M., Cooper, D. A., LaBar, K. S., & McCarthy, G. (2008) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2007.07.007 · Cited by 131

Alterations in the neural circuitry for emotion and attention associated with posttraumatic stress symptomatology

Pannu Hayes, J., LaBar, K. S., Petty, C. M., McCarthy, G., & Morey, R. A. (2009) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2008.05.005 · Cited by 130

Neural correlates of craving and resisting craving for tobacco in nicotine dependent smokers

Hartwell, K. J., Johnson, K. A., Li, X., Myrick, H., LeMatty, T., George, M. S., & Brady, K. T. (2011) · Addiction Biology · doi:10.1111/j.1369-1600.2011.00340.x · Cited by 129

Structural correlates of facial emotion recognition deficits in Parkinson's disease patients

Baggio, H. C., Segura, B., Ibarretxe-Bilbao, N., Valldeoriola, F., Marti, M. J., Compta, Y., Tolosa, E., & Junqué, C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.05.020 · Cited by 128

Social cognitive deficits and their neural correlates in progressive supranuclear palsy

Ghosh, B. C. P., Calder, A. J., Peers, P. V., Lawrence, A. D., Acosta-Cabronero, J., Pereira, J. M., Hodges, J. R., & Rowe, J. B. (2012) · Brain · doi:10.1093/brain/aws128 · Cited by 123

Practice effects in the brain: Changes in cerebral activation after working memory practice depend on task demands

Jolles, D. D., Grol, M. J., Van Buchem, M. A., Rombouts, S. A. R. B., & Crone, E. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.028 · Cited by 122

Neurocognitive contributions to verbal fluency deficits in frontotemporal lobar degeneration

Libon, D. J., McMillan, C., Gunawardena, D., Powers, C., Massimo, L., Khan, A., Morgan, B., Farag, C., Richmond, L., Weinstein, J., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b2a4f5 · Cited by 122

Intolerance of uncertainty predicts fear extinction in amygdala-ventromedial prefrontal cortical circuitry

Morriss, J., Christakou, A., & van Reekum, C. M. (2015) · Biology of Mood & Anxiety Disorders · doi:10.1186/s13587-015-0019-8 · Cited by 106

Frequent ice cream consumption is associated with reduced striatal response to receipt of an ice cream–based milkshake

Burger, K. S., & Stice, E. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.027003 · Cited by 122

Pain sensitivity is inversely related to regional grey matter density in the brain

Emerson, N. M., Zeidan, F., Lobanov, O. V., Hadsel, M. S., Martucci, K. T., Quevedo, A. S., Starr, C. J., Nahman-Averbuch, H., Weissman-Fogel, I., Granovsky, Y., et al. (2014) · Pain · doi:10.1016/j.pain.2013.12.004 · Cited by 121

Risk for depression and neural responses to fearful facial expressions of emotion

Chan, S. W. Y., Norbury, R., Goodwin, G. M., & Harmer, C. J. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.107.047993 · Cited by 117

Mapping an index of the myelin g-ratio in infants using magnetic resonance imaging

Dean, D. C., O'Muircheartaigh, J., Dirks, H., Travers, B. G., Adluru, N., Alexander, A. L., & Deoni, S. C. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.040 · Cited by 121

Positron Emission Tomography Quantification of Serotonin1AReceptor Binding in Suicide Attempters With Major Depressive Disorder

Sullivan, G. M., Oquendo, M. A., Milak, M., Miller, J. M., Burke, A., Ogden, R. T., Parsey, R. V., & Mann, J. J. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2406 · Cited by 118

Down but not out in posterior cingulate cortex: Deactivation yet functional coupling with prefrontal cortex during demanding semantic cognition

Krieger-Redwood, K., Jefferies, E., Karapanagiotidis, T., Seymour, R., Nunes, A., Ang, J. W. A., Majernikova, V., Mollo, G., & Smallwood, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.060 · Cited by 106

Identifying incipient dementia individuals using machine learning and amyloid imaging

Mathotaarachchi, S., Pascoal, T. A., Shin, M., Benedet, A. L., Kang, M. S., Beaudry, T., Fonov, V. S., Gauthier, S., & Rosa-Neto, P. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.06.027 · Cited by 118

Frontal connections and cognitive changes in normal aging rhesus monkeys: A DTI study.

Makris, N., Papadimitriou, G. M., van der Kouwe, A., Kennedy, D. N., Hodge, S. M., Dale, A. M., Benner, T., Wald, L. L., Wu, O., Tuch, D. S., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.005 · Cited by 115

Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer’s disease

O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021745 · Cited by 119

DCE-MRI blood–brain barrier assessment in acute ischemic stroke

Villringer, K., Sanz Cuesta, B. E., Ostwaldt, A.-C., Grittner, U., Brunecker, P., Khalil, A. A., Schindler, K., Eisenblätter, O., Audebert, H., & Fiebach, J. B. (2017) · Neurology · doi:10.1212/wnl.0000000000003566 · Cited by 119

Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment

O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032441 · Cited by 117

White matter connectivity in children with autism spectrum disorders: a tract-based spatial statistics study

Billeci, L., Calderoni, S., Tosetti, M., Catani, M., & Muratori, F. (2012) · BMC Neurology · doi:10.1186/1471-2377-12-148 · Cited by 116

Involvement of the precuneus/posterior cingulate cortex is significant for the development of Alzheimer’s disease: a pet (THK5351, PiB) and resting fMRI study.

Yokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116

Insecure attachment during infancy predicts greater amygdala volumes in early adulthood

Moutsiana, C., Johnstone, T., Murray, L., Fearon, P., Cooper, P. J., Pliatsikas, C., Goodyer, I., & Halligan, S. L. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12317 · Cited by 112

Intranasal oxytocin enhances connectivity in the neural circuitry supporting social motivation and social perception in children with autism

Gordon, I., Jack, A., Pretzsch, C. M., Vander Wyk, B., Leckman, J. F., Feldman, R., & Pelphrey, K. A. (2016) · Scientific Reports · doi:10.1038/srep35054 · Cited by 114

Methylphenidate Has Differential Effects on Blood Oxygenation Level-Dependent Signal Related to Cognitive Subprocesses of Reversal Learning

Dodds, C. M., Muller, U., Clark, L., van Loon, A., Cools, R., & Robbins, T. W. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1153-08.2008 · Cited by 113

Neural correlates of word production stages delineated by parametric modulation of psycholinguistic variables

Wilson, S. M., Isenberg, A. L., & Hickok, G. (2009) · Human Brain Mapping · doi:10.1002/hbm.20782 · Cited by 110

Diffusion tensor imaging in patients with adult chronic idiopathic hydrocephalus

Hattingen, E., Jurcoane, A., Melber, J., Blasel, S., Zanella, F. E., Neumann-Haefelin, T., & Singer, O. C. (2010) · Neurosurgery · doi:10.1227/01.neu.0000367801.35654.ec · Cited by 111

The cortical connectivity of the periaqueductal gray and the conditioned response to the threat of breathlessness

Faull, O. K., & Pattinson, K. T. (2017) · eLife · doi:10.7554/elife.21749 · Cited by 110

Short-term antidepressant treatment modulates amygdala response to happy faces

Norbury, R., Taylor, M. J., Selvaraj, S., Murphy, S. E., Harmer, C. J., & Cowen, P. J. (2009) · Psychopharmacology · doi:10.1007/s00213-009-1597-1 · Cited by 109

Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography

Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.024 · Cited by 109

Extended self: medial prefrontal activity during transient association of self and objects

Kim, K., & Johnson, M. K. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq096 · Cited by 104

How Expert Advice Influences Decision Making

Meshi, D., Biele, G., Korn, C. W., & Heekeren, H. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049748 · Cited by 107

Cerebral blood flow in posterior cortical nodes of the default mode network decreases with task engagement but remains higher than in most brain regions

Pfefferbaum, A., Chanraud, S., Pitel, A.-L., Muller-Oehring, E., Shankaranarayanan, A., Alsop, D. C., Rohlfing, T., & Sullivan, E. V. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq090 · Cited by 104

Intranasal oxytocin, but not vasopressin, augments neural responses to toddlers in human fathers

Li, T., Chen, X., Mascaro, J., Haroon, E., & Rilling, J. K. (2017) · Hormones and Behavior · doi:10.1016/j.yhbeh.2017.01.006 · Cited by 105

Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging

Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., Shimoji, K., Hori, M., Caeyenberghs, K., Pantelis, C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23628 · Cited by 106

Cell cycle networks link gene expression dysregulation, mutation, and brain maldevelopment in autistic toddlers

Pramparo, T., Lombardo, M. V., Campbell, K., Barnes, C. C., Marinero, S., Solso, S., Young, J., Mayo, M., Dale, A., Ahrens‐Barbeau, C., et al. (2015) · Molecular Systems Biology · doi:10.15252/msb.20156108 · Cited by 88

fMRI activation in the amygdala and the orbitofrontal cortex in unmedicated subjects with major depressive disorder

Townsend, J. D., Eberhart, N. K., Bookheimer, S. Y., Eisenberger, N. I., Foland-Ross, L. C., Cook, I. A., Sugar, C. A., & Altshuler, L. L. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2010.06.001 · Cited by 105

Integrative genomics of microglia implicates DLG4 (PSD95) in the white matter development of preterm infants

Krishnan, M. L., Van Steenwinckel, J., Schang, A.-L., Yan, J., Arnadottir, J., Le Charpentier, T., Csaba, Z., Dournaud, P., Cipriani, S., Auvynet, C., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00422-w · Cited by 105

Subjective confidence reflects representation of Bayesian probability in cortex

Geurts, L. S., Cooke, J. R. H., van Bergen, R. S., & Jehee, J. F. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01247-w · Cited by 104

Influence of attentional demands on the processing of emotional facial expressions in the amygdala

Silvert, L., Lepsien, J., Fragopanagos, N., Goolsby, B., Kiss, M., Taylor, J. G., Raymond, J. E., Shapiro, K. L., Eimer, M., & Nobre, A. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.023 · Cited by 104

Cognitive performances associate with measures of white matter integrity in bipolar disorder

Poletti, S., Bollettini, I., Mazza, E., Locatelli, C., Radaelli, D., Vai, B., Smeraldi, E., Colombo, C., & Benedetti, F. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.030 · Cited by 102

The Incentive Salience of Alcohol: Translating the Effects of Genetic Variant in CNR1

Hutchison, K. E., Haughey, H., Niculescu, M., Schacht, J., Kaiser, A., Stitzel, J., Horton, W. J., & Filbey, F. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.7.841 · Cited by 102

Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease

Chincarini, A., Sensi, F., Rei, L., Gemme, G., Squarcia, S., Longo, R., Brun, F., Tangaro, S., Bellotti, R., Amoroso, N., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.065 · Cited by 94

COMT Haplotypes Modulate Associations of Antenatal Maternal Anxiety and Neonatal Cortical Morphology

Qiu, A., Tuan, T. A., Ong, M. L., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14030313 · Cited by 100

Reduced white matter integrity and cognitive deficit in never-medicated chronic schizophrenia: A diffusion tensor study using TBSS

Liu, X., Lai, Y., Wang, X., Hao, C., Chen, L., Zhou, Z., Yu, X., & Hong, N. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.05.061 · Cited by 101

Default mode network subsystems are differentially disrupted in posttraumatic stress disorder

Miller, D. R., Hayes, S. M., Hayes, J. P., Spielberg, J. M., Lafleche, G., & Verfaellie, M. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.12.006 · Cited by 101

Abnormal hippocampal morphology in dissociative identity disorder and post-traumatic stress disorder correlates with childhood trauma and dissociative symptoms

Chalavi, S., Vissia, E. M., Giesen, M. E., Nijenhuis, E. R. S., Draijer, N., Cole, J. H., Dazzan, P., Pariante, C. M., Madsen, S. K., Rajagopalan, P., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22730 · Cited by 100

Developmental effects of reward on sustained attention networks

Smith, A. B., Halari, R., Giampetro, V., Brammer, M., & Rubia, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.072 · Cited by 99

Prefrontal and amygdala volumes are related to adolescents’ affective behaviors during parent-adolescent interactions

Whittle, S., Yap, M. B. H., Yücel, M., Fornito, A., Simmons, J. G., Barrett, A., Sheeber, L., & Allen, N. B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709815105 · Cited by 100

Affective context interferes with cognitive control in unipolar depression: an fMRI investigation

Dichter, G. S., Felder, J. N., & Smoski, M. J. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.06.027 · Cited by 99

Metabolic and Haemodynamic Resting-State Connectivity of the Human Brain: A High-Temporal Resolution Simultaneous BOLD-FMRI and FDG-FPET Multimodality Study

Jamadar, S. D., Ward, P. G., Liang, E. X., Orchard, E. R., Chen, Z., & Egan, G. F. (2020) · doi:10.1101/2020.05.01.071662 · Cited by 98

Changes in fitness are associated with changes in hippocampal microstructure and hippocampal volume among older adults.

Kleemeyer, M. M., Kühn, S., Prindle, J., Bodammer, N. C., Brechtel, L., Garthe, A., Kempermann, G., Schaefer, S., & Lindenberger, U. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.026 · Cited by 98

Loss of white matter integrity reflects tau accumulation in Alzheimer disease defined regions

Strain, J. F., Smith, R. X., Beaumont, H., Roe, C. M., Gordon, B. A., Mishra, S., Adeyemo, B., Christensen, J. J., Su, Y., Morris, J. C., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005864 · Cited by 97

Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia

Bron, E. E., Steketee, R. M. E., Houston, G. C., Oliver, R. A., Achterberg, H. C., Loog, M., van Swieten, J. C., Hammers, A., Niessen, W. J., Smits, M., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22522 · Cited by 93

Brain atrophy associations with white matter lesions in the ageing brain: the Lothian Birth Cohort 1936

Aribisala, B. S., Valdés Hernández, M. C., Royle, N. A., Morris, Z., Muñoz Maniega, S., Bastin, M. E., Deary, I. J., & Wardlaw, J. M. (2013) · European Radiology · doi:10.1007/s00330-012-2677-x · Cited by 91

Thalamic shape and connectivity abnormalities in children with attention- deficit/hyperactivity disorder

Xia, S., Li, X., Kimball, A. E., Kelly, M. S., Lesser, I., & Branch, C. (2012) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.04.011 · Cited by 92

Major depressive disorder is characterized by greater reward network activation to monetary than pleasant image rewards

Smoski, M. J., Rittenberg, A., & Dichter, G. S. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.06.012 · Cited by 91

Subregional hippocampal deformations in major depressive disorder

Cole, J., Toga, A. W., Hojatkashani, C., Thompson, P., Costafreda, S. G., Cleare, A. J., Williams, S. C. R., Bullmore, E. T., Scott, J. L., & Mitterschiffthaler, M. T. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.03.004 · Cited by 94

Whole-body somatotopic maps in the cerebellum revealed with 7T fMRI

Boillat, Y., Bazin, P.-L., & van der Zwaag, W. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116624 · Cited by 85

Label-aligned multi-task feature learning for multimodal classification of alzheimer’s disease and mild cognitive impairment

Initiative, T. A. D. N., Zu, C., Jie, B., Liu, M., Chen, S., Shen, D., & Zhang, D. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9480-7 · Cited by 95

The good, the bad, and the irrelevant: Neural mechanisms of learning real and hypothetical rewards and effort

Scholl, J., Kolling, N., Nelissen, N., Wittmann, M. K., Harmer, C. J., & Rushworth, M. F. S. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0396-15.2015 · Cited by 85

Smoking impacts on prefrontal attentional network function in young adult brains

Musso, F., Bettermann, F., Vucurevic, G., Stoeter, P., Konrad, A., & Winterer, G. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0499-8 · Cited by 93

Evidence of successful modulation of brain activation and subjective experience during reappraisal of negative emotion in unmedicated depression

Dillon, D. G., & Pizzagalli, D. A. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.01.001 · Cited by 91

Relationships between brain metabolism decrease in normal aging and changes in structural and functional connectivity

Chételat, G., Landeau, B., Salmon, E., Yakushev, I., Bahri, M. A., Mézenge, F., Perrotin, A., Bastin, C., Manrique, A., Scheurich, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.009 · Cited by 92

Automated fetal brain segmentation from 2D MRI slices for motion correction

Keraudren, K., Kuklisova-Murgasova, M., Kyriakopoulou, V., Malamateniou, C., Rutherford, M. A., Kainz, B., Hajnal, J. V., & Rueckert, D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.023 · Cited by 91

Inverse effects of oxytocin on attributing mental activity to others in depressed and healthy subjects: a double-blind placebo controlled FMRI study

Pincus, D. (2010) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2010.00134 · Cited by 91

Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences

Benou, A., Veksler, R., Friedman, A., & Riklin Raviv, T. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.006 · Cited by 91

Longitudinal white matter changes in frontotemporal dementia subtypes: Longitudinal White Matter Changes in FTD

Lam, B. Y. K., Halliday, G. M., Irish, M., Hodges, J. R., & Piguet, O. (2014) · Human Brain Mapping · doi:10.1002/hbm.22420 · Cited by 90

Remitted major depression is characterized by reduced prefrontal cortex reactivity to reward loss

Schiller, C. E., Minkel, J., Smoski, M. J., & Dichter, G. S. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.06.016 · Cited by 89

Perceptual systems controlling speech production

Dhanjal, N. S., Handunnetthi, L., Patel, M. C., & Wise, R. J. S. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2607-08.2008 · Cited by 99

Total cerebral blood flow, white matter lesions and brain atrophy: the SMART-MR study

Appelman, A. P., van der Graaf, Y., Vincken, K. L., Tiehuis, A. M., Witkamp, T. D., Mali, W. P., Geerlings, M. I., & SMART Study Group (2008) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600563 · Cited by 88

Interoception in insula subregions as a possible state marker for depression—an exploratory fMRI study investigating healthy, depressed and remitted participants

Wiebking, C., de Greck, M., Duncan, N. W., Tempelmann, C., Bajbouj, M., & Northoff, G. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00082 · Cited by 90

The link between testosterone and amygdala-orbitofrontal cortex connectivity in adolescent alcohol use

Peters, S., Jolles, D. J., Duijvenvoorde, A. C. K. V., Crone, E. A., & Peper, J. S. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.01.004 · Cited by 88

Mapping Human Laryngeal Motor Cortex during Vocalization

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Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

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