20.9.5 Brain, Stroke, Ischemic Stroke

Chapter Contents (Back)
Brain. Cortex. Stroke Detection.

Clay, M.T., Ferree, T.C.,
Weighted regularization in electrical impedance tomography with applications to acute cerebral stroke,
MedImg(21), No. 6, June 2002, pp. 629-637.
IEEE Top Reference. 0208

Schormann, T., Kraemer, M.,
Voxel-guided morphometry ('VGM') and application to stroke,
MedImg(22), No. 1, January 2003, pp. 62-74.
IEEE Top Reference. 0304

Tan, T.L., Sim, K.S., Tso, C.P., Chong, A.K.,
Contrast enhancement of computed tomography images by adaptive histogram equalization-application for improved ischemic stroke detection,
IJIST(22), No. 3, September 2012, pp. 153-160.
DOI Link 1208

Bae, K.T.[Kyongtae Ty], Park, S.H.[Sung-Hong], Shim, H.[Hackjoon], Moon, C.H.[Chan-Hong], Kim, J.H.[Jung-Hwan], Nemoto, E.M.[Edwin M.],
Application of compatible dual-echo arteriovenography in stroke: Preliminary observations,
IJIST(23), No. 2, 2013, pp. 152-156.
DOI Link 1307
stroke, compatible dual-echo arteriovenography, vessel enhancement filtering, susceptibility weighted imaging, time-of-flight, blood oxygenation level-dependent, angiogram, venogram BibRef

Mamatjan, Y.[Yasin],
Imaging of hemorrhagic stroke in magnetic induction tomography: An in vitro study,
IJIST(24), No. 2, 2014, pp. 161-166.
DOI Link 1405
magnetic induction tomography BibRef

Wen, B.[Bo], Ma, L.[Lin], Weng, C.S.[Chang-Shui],
The impact of constraint induced movement therapy on brain activation in chronic stroke patients with upper extremity paralysis: An fMRI study,
IJIST(24), No. 3, 2014, pp. 270-275.
DOI Link 1408
fMRI, brain reorganization, CIMT, stroke BibRef

Park, S.I.[Sang-In], Lee, J.H.[Jin-Hee], Chung, Y.A.[Yong-An], Park, M.S.[Moon-Seo], Sunwoo, H.[Hyun], Lee, K.S.[Kwan-Sung], Sunwoo, Y.Y.[Yun-Young],
The neuroprotective effect of a traditional herbal (kyung-ok-ko) on transient middle cerebral artery occlusion-Induced ischemic rat brain,
IJIST(25), No. 2, 2015, pp. 131-138.
DOI Link 1506
stroke, transient ischemia, MCAO, Kyung-ok-ko, herb medicine BibRef

Ang, K.K.[Kai Keng], Guan, C.T.[Cun-Tai],
Brain-Computer Interface for Neurorehabilitation of Upper Limb After Stroke,
PIEEE(103), No. 6, June 2015, pp. 944-953.
brain-computer interfaces BibRef

Menze, B.H., Van Leemput, K., Lashkari, D., Riklin-Raviv, T., Geremia, E., Alberts, E., Gruber, P., Wegener, S., Weber, M.A., Székely, G., Ayache, N., Golland, P.,
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation: With Application to Tumor and Stroke,
MedImg(35), No. 4, April 2016, pp. 933-946.
Gaussian processes BibRef

Jang, J.[Jinhee], Ahn, K.J.[Kook-Jin], Kim, B.Y.[Bom-Yi], Porter, D.[David], Stemmer, A.[Alto], Choi, H.S.[Hyun Seok], Jung, S.L.[So-Lyung], Kim, B.S.[Bum-Soo],
The usefulness of diffusion-weighted readout-segmented EPI and fast spin echo with BLADE (PROPELLER) k-space sampling: A comparison with single-shot EPI for diffusion-weighted imaging in ischemic stroke patients,
IJIST(26), No. 3, 2016, pp. 216-224.
DOI Link 1609
acute ischemic stroke BibRef

Karthik, R., Menaka, R.,
A critical appraisal on wavelet based features from brain MR images for efficient characterization of ischemic stroke injuries,
ELCVIA(15), No. 3, 2016, pp. 1.
DOI Link 1701
Ischemic Stroke, Watershed transformation, Discrete Wavelet, Feature statistics BibRef

Wang, L.[Lulu],
Electromagnetic induction holography imaging for stroke detection,
JOSA-A(34), No. 2, February 2017, pp. 294-298.
DOI Link 1702
Image reconstruction techniques BibRef

Sivakumar, P., Ganeshkumar, P.,
An efficient automated methodology for detecting and segmenting the ischemic stroke in brain MRI images,
IJIST(27), No. 3, 2017, pp. 265-272.
DOI Link 1708
brain stroke, classification, ischemic stroke, morphological features, , texture, features BibRef

Ho, K.C., Scalzo, F., Sarma, K.V., El-Saden, S., Arnold, C.W.,
A temporal deep learning approach for MR perfusion parameter estimation in stroke,
Biological neural networks, Biological tissues, Convolution, Deconvolution, Estimation, Imaging, Parameter, estimation BibRef

Yahiaoui, A.F.Z., Bessaid, A.,
Segmentation of ischemic stroke area from CT brain images,
Band-pass filters BibRef

Wang, Y., Katsaggelos, A.K., Wang, X., Parrish, T.B.,
A deep symmetry convnet for stroke lesion segmentation,
Biological neural networks BibRef

Giacalone, M., Frindel, C., Robini, M., Rousseau, D.,
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke,
biomedical MRI BibRef

O'Reilly, C.[Christian], Plamondon, R.[Rejean],
Looking for the brain stroke signature,
WWW Link. 1302

Mujumdar, S.[Shashank], Varma, R., Kishore, L.T.,
A novel framework for segmentation of stroke lesions in Diffusion Weighted MRI using multiple b-value data,
WWW Link. 1302

Scalzo, F.[Fabien], Hao, Q.[Qing], Alger, J.R.[Jeffrey R.], Hu, X.[Xiao], Liebeskind, D.S.[David S.],
Tissue Fate Prediction in Acute Ischemic Stroke Using Cuboid Models,
ISVC10(II: 292-301).
Springer DOI 1011

Scalzo, F.[Fabien], Hao, Q.[Qing], Walczak, A.M.[Alan M.], Hu, X.[Xiao], Hoi, Y.[Yiemeng], Hoffmann, K.R.[Kenneth R.], Liebeskind, D.S.[David S.],
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms,
ISVC10(III: 359-367).
Springer DOI 1011

Chang, T.C.[Tzyh-Chyang], Lee, J.D.[Jiann-Der], Huang, C.H.[Chung-Hsien], Wu, T.[Tony], Chen, C.J.[Chi-Jen], Wu, S.J.[Shwu-Jiuan],
The Diagnostic Application of Brain Image Processing and Analysis System for Ischemic Stroke,
ISVC06(II: 31-38).
Springer DOI 0611

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Cortex, General Segmentation Issues .

Last update:Sep 18, 2017 at 11:34:11