CiteULike: jclau's classification [11 articles]

Distinguishing lacunar infarcts from dilatations of the perivascular space.

Journal of neurology, Vol. 245, No. 12. (December 1998), pp. 813-814.

posted to vr-space stroke segmentation pathology mri lesion lacunar-infarct imaging human commentary classification brain by jclau on 2009-08-27 02:40:11 as read

A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System.

Stroke; a journal of cerebral circulation, Vol. 38, No. 11. (November 2007), pp. 2979-2984.

by H. Ay, T. Benner, E. M. Arsava, et al.K. L. Furie, A. B. Singhal, M. B. Jensen, C. Ayata, A. Towfighi, E. E. Smith, J. Y. Chong, W. J. Koroshetz, A. G. Sorensen

posted to acute automated classification ischemia stroke by jclau on 2009-06-19 15:58:54 as

An evidence-based causative classification system for acute ischemic stroke

Annals of Neurology, Vol. 58, No. 5. (2005), pp. 688-697.

by Hakan Ay, Karen L. Furie, Aneesh Singhal, Wade S. Smith, Gregory A. Sorensen, Walter J. Koroshetz

posted to acute brain classification data ischemia stroke by jclau on 2009-06-19 15:54:27 as

along with 1 person thienanh

Distinguishing silent lacunar infarction from enlarged Virchow-Robin spaces: a magnetic resonance imaging and pathological study.

Journal of neurology, Vol. 245, No. 2. (February 1998), pp. 116-122.

by H. Bokura, S. Kobayashi, S. Yamaguchi

posted to vr-space stroke segmentation pathology mri lesion lacunar-infarct imaging human classification brain by jclau on 2009-06-04 16:33:41 as read

Computer-aided diagnosis scheme for classification of lacunar infarcts and enlarged Virchow-Robin spaces in brain MR images.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2008 (2008), pp. 3908-3911.

by Y. Uchiyama, T. Kunieda, T. Asano, et al.H. Kato, T. Hara, M. Kanematsu, T. Iwama, H. Hoshi, Y. Kinosada, H. Fujita

posted to brain classification human imaging lacunar-infarct lesion mri segmentation by jclau on 2009-06-04 16:23:38 as

Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks.

IEEE Trans Med Imaging, Vol. 16, No. 6. (December 1997), pp. 911-918.

by W. E. Reddick, J. O. Glass, E. N. Cook, T. D. Elkin, R. J. Deaton

posted to brain classification human imaging mri multimodal segmentation tissue-classification by jclau on 2007-08-25 21:43:44 as

Cognitive function, P3a/P3b brain potentials, and cortical thickness in aging.

Hum Brain Mapp (16 March 2007)

by Anders M M. Fjell, Kristine B B. Walhovd, Bruce Fischl, Ivar Reinvang

posted to aging anatomical atrophy automated brain cerebral-cortex cerebrum classification cognitive correlation cortical-thickness eeg human imaging mri tissue-classification by jclau on 2007-08-21 15:26:19 as

Pattern Classification (2nd Edition)

(21 November 2000)

by Richard O. Duda, Peter E. Hart, David G. Stork

A stereotaxic MRI template set for the rat brain with tissue class distribution maps and co-registered anatomical atlas: Application to pharmacological MRI

NeuroImage, Vol. 32, No. 2. (15 August 2006), pp. 538-550.

by Adam J. Schwarz, Anne Danckaert, Torsten Reese, et al.Alessandro Gozzi, George Paxinos, Charles Watson, Emilio V. Merlo-Pich, Angelo Bifone

posted to atlas brain classification imaging mri probability-map rat registration stereotaxic tissue-classification by jclau on 2006-09-30 22:38:35 as

Classifying spatial patterns of brain activity with machine learning methods: application to lie detection.

Neuroimage, Vol. 28, No. 3. (15 November 2005), pp. 663-668.

by C. Davatzikos, K. Ruparel, Y. Fan, et al.D. G. Shen, M. Acharyya, J. W. Loughead, R. C. Gur, D. D. Langleben

posted to brain classification fmri imaging svm by jclau on 2006-04-24 22:12:48 as

along with 7 people nkishan librain szielke koba224 balicea wtribbey isami

Morphological classification of brains via high-dimensional shape transformations and machine learning methods.

Neuroimage, Vol. 21, No. 1. (January 2004), pp. 46-57.

by Z. Lao, D. Shen, Z. Xue, B. Karacali, S. M. Resnick, C. Davatzikos

posted to brain classification dbm imaging morphometry mri shape svm vbm by jclau on 2006-04-24 17:20:57 as

	Distinguishing lacunar infarcts from dilatations of the perivascular space. [My Copy] Journal of neurology, Vol. 245, No. 12. (December 1998), pp. 813-814. by J. Poirier, C. Derouesné posted to vr-space stroke segmentation pathology mri lesion lacunar-infarct imaging human commentary classification brain by jclau on 2009-08-27 02:40:11 as
	A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System. [My Copy] Stroke; a journal of cerebral circulation, Vol. 38, No. 11. (November 2007), pp. 2979-2984. by H. Ay, T. Benner, E. M. Arsava, et al.K. L. Furie, A. B. Singhal, M. B. Jensen, C. Ayata, A. Towfighi, E. E. Smith, J. Y. Chong, W. J. Koroshetz, A. G. Sorensen posted to acute automated classification ischemia stroke by jclau on 2009-06-19 15:58:54 as
	An evidence-based causative classification system for acute ischemic stroke [My Copy] Annals of Neurology, Vol. 58, No. 5. (2005), pp. 688-697. by Hakan Ay, Karen L. Furie, Aneesh Singhal, Wade S. Smith, Gregory A. Sorensen, Walter J. Koroshetz posted to acute brain classification data ischemia stroke by jclau on 2009-06-19 15:54:27 as along with 1 person thienanh
	Distinguishing silent lacunar infarction from enlarged Virchow-Robin spaces: a magnetic resonance imaging and pathological study. [My Copy] Journal of neurology, Vol. 245, No. 2. (February 1998), pp. 116-122. by H. Bokura, S. Kobayashi, S. Yamaguchi posted to vr-space stroke segmentation pathology mri lesion lacunar-infarct imaging human classification brain by jclau on 2009-06-04 16:33:41 as
	Computer-aided diagnosis scheme for classification of lacunar infarcts and enlarged Virchow-Robin spaces in brain MR images. [My Copy] Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2008 (2008), pp. 3908-3911. by Y. Uchiyama, T. Kunieda, T. Asano, et al.H. Kato, T. Hara, M. Kanematsu, T. Iwama, H. Hoshi, Y. Kinosada, H. Fujita posted to brain classification human imaging lacunar-infarct lesion mri segmentation by jclau on 2009-06-04 16:23:38 as
	Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. [My Copy] IEEE Trans Med Imaging, Vol. 16, No. 6. (December 1997), pp. 911-918. by W. E. Reddick, J. O. Glass, E. N. Cook, T. D. Elkin, R. J. Deaton posted to brain classification human imaging mri multimodal segmentation tissue-classification by jclau on 2007-08-25 21:43:44 as
	Cognitive function, P3a/P3b brain potentials, and cortical thickness in aging. [My Copy] Hum Brain Mapp (16 March 2007) by Anders M M. Fjell, Kristine B B. Walhovd, Bruce Fischl, Ivar Reinvang posted to aging anatomical atrophy automated brain cerebral-cortex cerebrum classification cognitive correlation cortical-thickness eeg human imaging mri tissue-classification by jclau on 2007-08-21 15:26:19 as
	Pattern Classification (2nd Edition) [My Copy] (21 November 2000) by Richard O. Duda, Peter E. Hart, David G. Stork posted to classification pattern statistics textbook by jclau on 2007-05-01 19:48:34 as along with 51 people and 11 groups emailhy jrodriguez gavin1332 montse_gg kroatiker alexjfalcao purplecrown seninp liamtoh333 lvcargnini ben500 h-chi chiufanlee RafaUsyd aanthon2 eddymier pprett misovalko thefillm pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo bigbossman brunomelo ddos mattjb zeppe dimatura theus abellogin singhsh haiyeong napvasconcelos ecome matjes yaroslavvb tgyork middell LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
	A stereotaxic MRI template set for the rat brain with tissue class distribution maps and co-registered anatomical atlas: Application to pharmacological MRI [My Copy] NeuroImage, Vol. 32, No. 2. (15 August 2006), pp. 538-550. by Adam J. Schwarz, Anne Danckaert, Torsten Reese, et al.Alessandro Gozzi, George Paxinos, Charles Watson, Emilio V. Merlo-Pich, Angelo Bifone posted to atlas brain classification imaging mri probability-map rat registration stereotaxic tissue-classification by jclau on 2006-09-30 22:38:35 as
	Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. [My Copy] Neuroimage, Vol. 28, No. 3. (15 November 2005), pp. 663-668. by C. Davatzikos, K. Ruparel, Y. Fan, et al.D. G. Shen, M. Acharyya, J. W. Loughead, R. C. Gur, D. D. Langleben posted to brain classification fmri imaging svm by jclau on 2006-04-24 22:12:48 as along with 7 people nkishan librain szielke koba224 balicea wtribbey isami
	Morphological classification of brains via high-dimensional shape transformations and machine learning methods. [My Copy] Neuroimage, Vol. 21, No. 1. (January 2004), pp. 46-57. by Z. Lao, D. Shen, Z. Xue, B. Karacali, S. M. Resnick, C. Davatzikos posted to brain classification dbm imaging morphometry mri shape svm vbm by jclau on 2006-04-24 17:20:57 as

jclau's classification [11 articles] Export

jclau's tags

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