Jane Maryam Rondina
Jane Maryam Rondina
Verified email at ucl.ac.uk
Cited by
Cited by
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11 (3), 319-337, 2013
Asymmetrical hippocampal connectivity in mesial temporal lobe epilepsy: evidence from resting state fMRI
FRS Pereira, A Alessio, MS Sercheli, T Pedro, E Bilevicius, JM Rondina, ...
BMC neuroscience 11 (1), 1-13, 2010
Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study
J Mourao-Miranda, A Reinders, V Rocha-Rego, J Lappin, J Rondina, ...
Psychological medicine 42 (5), 1037-1047, 2012
Cerebral and corpus callosum atrophy in systemic lupus erythematosus
S Appenzeller, JM Rondina, LM Li, LTL Costallat, F Cendes
Arthritis & Rheumatism 52 (9), 2783-2789, 2005
Brain plasticity for verbal and visual memories in patients with mesial temporal lobe epilepsy and hippocampal sclerosis: an fMRI study
A Alessio, FRS Pereira, MS Sercheli, JM Rondina, HB Ozelo, E Bilevicius, ...
Human brain mapping 34 (1), 186-199, 2013
SCoRS—A method based on stability for feature selection and mapping in neuroimaging
JM Rondina, T Hahn, L de Oliveira, AF Marquand, T Dresler, T Leitner, ...
IEEE transactions on medical imaging 33 (1), 85-98, 2013
Decoding post-stroke motor function from structural brain imaging
JM Rondina, M Filippone, M Girolami, NS Ward
NeuroImage: Clinical 12, 372-380, 2016
Brain regions important for recovery after severe post-stroke upper limb paresis
JM Rondina, C Park, NS Ward
Journal of Neurology, Neurosurgery & Psychiatry 88 (9), 737-743, 2017
Electrical stimulation during gait promotes increase of muscle cross-sectional area in quadriplegics: a preliminary study
DCC de Abreu, A Cliquet, JM Rondina, F Cendes
Clinical orthopaedics and related research 467 (2), 553-557, 2009
Cortical beta oscillations are associated with motor performance following visuomotor learning
S Espenhahn, BCM van Wijk, HE Rossiter, AO de Berker, ND Redman, ...
NeuroImage 195, 340-353, 2019
Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and …
JM Rondina, LK Ferreira, FL de Souza Duran, R Kubo, CR Ono, CC Leite, ...
NeuroImage: Clinical 17, 628-641, 2018
Support vector machine-based classification of neuroimages in Alzheimer’s disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals
LK Ferreira, JM Rondina, R Kubo, CR Ono, CC Leite, J Smid, C Bottino, ...
Brazilian Journal of Psychiatry 40, 181-191, 2017
Measuring abnormal brains: building normative rules in neuroimaging using one-class support vector machines
JR Sato, JM Rondina, J Mourão-Miranda
Frontiers in neuroscience 6, 178, 2012
Muscle hypertrophy in quadriplegics with combined electrical stimulation and body weight support training
DCC de Abreu, AC Júnior, JM Rondina, F Cendes
International Journal of Rehabilitation Research 31 (2), 171-175, 2008
The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke
SL Liew, A Zavaliangos‐Petropulu, N Jahanshad, CE Lang, KS Hayward, ...
Human brain mapping, 2020
Validation ofa semi-automated system for MRI–based hippocampalvolumetry in patients with temporal lobe epilepsy
AD Carnevalle, JM Rondina, E Kobayashi, RA Lotufo, F Cendes
Pattern changes of EEG oscillations and BOLD signals associated with temporal lobe epilepsy as revealed by a working memory task
HFB Ozelo, A Alessio, MS Sercheli, E Bilevicius, T Pedro, FRS Pereira, ...
BMC neuroscience 15 (1), 1-9, 2014
EEG spike source localization before and after surgery for temporal lobe epilepsy: a BOLD EEG-fMRI and independent component analysis study
MS Sercheli, E Bilevicius, A Alessio, H Ozelo, FRS Pereira, JM Rondina, ...
Brazilian Journal of Medical and Biological Research 42, 582-587, 2009
Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke
S Espenhahn, HE Rossiter, BCM van Wijk, N Redman, JM Rondina, ...
Brain communications 2 (2), fcaa161, 2020
Framingham coronary heart disease risk score can be predicted from structural brain images in elderly subjects
JM Rondina, P Squarzoni, FL Souza-Duran, JH Tamashiro-Duran, ...
Frontiers in aging neuroscience 6, 300, 2014
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