| Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks KA Smitha, K Akhil Raja, KM Arun, PG Rajesh, B Thomas, ... The neuroradiology journal 30 (4), 305-317, 2017 | 501 | 2017 |
| Evidence for widespread axonal damage at the earliest clinical stage of multiple sclerosis M Filippi, M Bozzali, M Rovaris, O Gonen, C Kesavadas, A Ghezzi, ... Brain 126 (2), 433-437, 2003 | 467 | 2003 |
| Clinical applications of susceptibility weighted MR imaging of the brain–a pictorial review B Thomas, S Somasundaram, K Thamburaj, C Kesavadas, AK Gupta, ... Neuroradiology 50, 105-116, 2008 | 315 | 2008 |
| Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke K Santhosh, C Kesavadas, B Thomas, AK Gupta, K Thamburaj, ... Clinical radiology 64 (1), 74-83, 2009 | 196 | 2009 |
| Seizure outcome after anterior temporal lobectomy and its predictors in patients with apparent temporal lobe epilepsy and normal MRI PN Sylaja, K Radhakrishnan, C Kesavadas, PS Sarma Epilepsia 45 (7), 803-808, 2004 | 167 | 2004 |
| Endovascular treatment of direct carotid cavernous fistulae: a pictorial review AK Gupta, S Purkayastha, T Krishnamoorthy, NK Bodhey, ... Neuroradiology 48, 831-839, 2006 | 154 | 2006 |
| Utility of susceptibility-weighted MRI in differentiating Parkinson’s disease and atypical parkinsonism D Gupta, J Saini, C Kesavadas, PS Sarma, A Kishore Neuroradiology 52, 1087-1094, 2010 | 144 | 2010 |
| Clinical and functional outcome and factors predicting prognosis in osmotic demyelination syndrome (central pontine and/or extrapontine myelinolysis) in 25 patients RN Kallakatta, A Radhakrishnan, RK Fayaz, JP Unnikrishnan, ... Journal of Neurology, Neurosurgery & Psychiatry 82 (3), 326-331, 2011 | 140 | 2011 |
| Intracranial infectious aneurysm: presentation, management and outcome S Kannoth, R Iyer, SV Thomas, SV Furtado, BJ Rajesh, C Kesavadas, ... Journal of the neurological sciences 256 (1-2), 3-9, 2007 | 139 | 2007 |
| Focal neuronal loss, reversible subcortical focal T2 hypointensity in seizures with a nonketotic hyperglycemic hyperosmolar state S Raghavendra, R Ashalatha, SV Thomas, C Kesavadas Neuroradiology 49, 299-305, 2007 | 120 | 2007 |
| Applications of 3D CISS sequence for problem solving in neuroimaging D Hingwala, S Chatterjee, C Kesavadas, B Thomas, TR Kapilamoorthy Indian Journal of Radiology and Imaging 21 (02), 90-97, 2011 | 115 | 2011 |
| Concepts and controversies in nonketotic hyperglycemia‐induced hemichorea: Further evidence from susceptibility‐weighted MR imaging A Cherian, B Thomas, NN Baheti, T Chemmanam, C Kesavadas Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2009 | 108 | 2009 |
| Susceptibility weighted imaging in cerebral hypoperfusion—can we predict increased oxygen extraction fraction? C Kesavadas, K Santhosh, B Thomas Neuroradiology 52, 1047-1054, 2010 | 86 | 2010 |
| Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation V Alex, K Vaidhya, S Thirunavukkarasu, C Kesavadas, G Krishnamurthi Journal of Medical Imaging 4 (4), 041311-041311, 2017 | 80 | 2017 |
| Evaluation, management, and long-term follow up of vein of Galen malformations AK Gupta, VRK Rao, DR Varma, TR Kapilamoorthy, C Kesavadas, ... Journal of neurosurgery 105 (1), 26-33, 2006 | 72 | 2006 |
| Epilepsia partialis continua—a clinical and electroencephalography study JD Pandian, SV Thomas, B Santoshkumar, K Radhakrishnan, PS Sarma, ... Seizure 11 (7), 437-441, 2002 | 70 | 2002 |
| Preoperative embolization of hypervascular head and neck tumours AK Gupta, S Purkayastha, NK Bodhey, TR Kapilamoorthy, C Kesavadas Australasian radiology 51 (5), 446-452, 2007 | 67 | 2007 |
| Calcified neurocysticercosis lesions and antiepileptic drug–resistant epilepsy: A surgically remediable syndrome? C Rathore, B Thomas, C Kesavadas, M Abraham, K Radhakrishnan Epilepsia 54 (10), 1815-1822, 2013 | 66 | 2013 |
| Advanced MR imaging in Lhermitte-Duclos disease: moving closer to pathology and pathophysiology B Thomas, T Krishnamoorthy, VV Radhakrishnan, C Kesavadas Neuroradiology 49, 733-738, 2007 | 66 | 2007 |
| Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy. NS Ranjith G, Parvathy R, Vikas V, Chandrasekharan K Neuroradiol J. 28 (2), 106-11, 2015 | 62 | 2015 |
Ashalatha RadhakrishnanProfessor,Department of Neurology,Sree Chitra Tirunal Institute for Medical Sciences and TechnologyVerified email at sctimst.ac.in
