20.9.7.6 fMRI Brain Activity Detction

Chapter Contents (Back)
Magnetic Resonance. fMRI. Activation Detection.

Desai, M., Mangoubi, R., Shah, J., Karl, W., Pien, H., Worth, A.J., Kennedy, D.N.,
Functional MRI activity characterization using response time shift estimates from curve evolution,
MedImg(21), No. 11, November 2002, pp. 1402-1412.
IEEE Top Reference. 0301
BibRef

Voultsidou, M., Dodel, S., Herrmann, J.M.,
Neural Networks Approach to Clustering of Activity in fMRI Data,
MedImg(24), No. 8, August 2005, pp. 987-996.
IEEE DOI 0508
BibRef

Tabelow, K., Polzehl, J., Ulug, A.M., Dyke, J.P., Watts, R., Heier, L.A., Voss, H.U.,
Accurate Localization of Brain Activity in Presurgical fMRI by Structure Adaptive Smoothing,
MedImg(27), No. 4, April 2008, pp. 531-537.
IEEE DOI 0804
BibRef

Kalberlah, C.[Christian], Chen, Y.[Yi], Heinzle, J.[Jakob], Haynes, J.D.[John-Dylan],
Beyond topographic representation: Decoding visuospatial attention from local activity patterns in the human frontal cortex,
IJIST(21), No. 2, June 2011, pp. 201-210.
DOI Link 1101
BibRef

Roujol, S., Ries, M., Moonen, C.T.W., de Senneville, B.D.[B. Denis],
Automatic Nonrigid Calibration of Image Registration for Real Time MR-Guided HIFU Ablations of Mobile Organs,
MedImg(30), No. 10, October 2011, pp. 1737-1745.
IEEE DOI 1110
BibRef

Aguerre, C., Desbarats, P., de Senneville, B.D.[B. Denis], Herigault, G., Dilharreguy, B., Moonen, C.T.W.,
A Method for Large Vessels/Brain Activity Colocalization,
ICIP06(2849-2852).
IEEE DOI 0610
BibRef

de Senneville, B.D., Desbarats, P., Ries, M., Moonen, C.T.W., Grenier, N.,
Automatic Region Tracking for MR Glomerular Filtration Rate Analysis,
ICIP06(2837-2840).
IEEE DOI 0610
BibRef

Aguerre, C., Desbarats, P., Dilharreguy, B., Moonen, C.T.W.,
3dD animation of cerebral activity using both spatial and temporal fMRI information,
3DIM03(103-109).
IEEE DOI 0311
BibRef

Chaari, L.[Lotfi], Vincent, T.[Thomas], Forbes, F.[Florence], Dojat, M., Ciuciu, P.[Philippe],
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach,
MedImg(32), No. 5, May 2013, pp. 821-837.
IEEE DOI 1305
BibRef
Earlier: A1, A3, A2, A5, Only:
Robust voxel-wise joint detection estimation of brain activity in fMRI,
ICIP12(1273-1276).
IEEE DOI 1302
BibRef

Ramezani, M., Marble, K., Trang, H., Johnsrude, I.S., Abolmaesumi, P.,
Joint Sparse Representation of Brain Activity Patterns in Multi-Task fMRI Data,
MedImg(34), No. 1, January 2015, pp. 2-12.
IEEE DOI 1502
biomedical MRI BibRef

Zöller, D.M., Bolton, T.A.W., Karahanoglu, F.I., Eliez, S., Schaer, M., van de Ville, D.,
Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression,
MedImg(38), No. 1, January 2019, pp. 291-302.
IEEE DOI 1901
Functional magnetic resonance imaging, Technological innovation, Transient analysis, Brain, spatio-temporal regression BibRef

Farouj, Y., Karahanoglu, F.I., van de Ville, D.,
Deconvolution of Sustained Neural Activity From Large-Scale Calcium Imaging Data,
MedImg(39), No. 4, April 2020, pp. 1094-1103.
IEEE DOI 2004
Calcium, Deconvolution, Imaging, Noise measurement, Numerical models, Transient analysis, Neurons, Temporal deconvolution, l1-minimization BibRef


Takada, S., Togo, R., Ogawa, T., Haseyama, M.,
Estimation Of Visual Contents Based On Question Answering From Human Brain Activity,
ICIP20(61-65)
IEEE DOI 2011
Functional magnetic resonance imaging, Visualization, Feature extraction, Decoding, Brain, Training, Data models, recurrent neural network (RNN) BibRef

Takada, S., Togo, R., Ogawa, T., Haseyama, M.,
Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space,
ICIP20(2521-2525)
IEEE DOI 2011
Functional magnetic resonance imaging, Semantics, Training, Feature extraction, Brain modeling, Computer architecture, functional magnetic resonance imaging (fMRI). BibRef

Li, D., Du, C., Huang, L., Chen, Z., He, H.,
Multi-label Semantic Decoding from Human Brain Activity,
ICPR18(3796-3801)
IEEE DOI 1812
Semantics, Functional magnetic resonance imaging, Decoding, Brain modeling, Neurons, Training BibRef

Yoldemir, B.[Burak], Ng, B.[Bernard], Abugharbieh, R.[Rafeef],
Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI,
MBIA12(51-60).
Springer DOI 1210
BibRef

Verdoolaege, G., Vlerick, L.[Leslie], Achten, E.[Eric],
Detection of resting-state brain activity in magnetic resonance images through wavelet feature cluster analysis,
ICIP11(2661-2664).
IEEE DOI 1201
BibRef

Thompson, E.A., Holland, S.K., Schmithorst, V.,
Detecting cortical activities from fMRI data using the STAP algorithm,
ICIP02(III: 1001-1004).
IEEE DOI 0210
BibRef

Neoh, H., Sapiro, G.,
Using Anisotropic Diffusion of Probability Maps for Activity Detection in Block-design Functional MRI,
ICIP00(Vol I: 621-624).
IEEE DOI 0008
BibRef

Hess, A., Scheich, H.,
Karhunen-Loeve-transformation of functional optical imaging of brain activity-consequences and implications,
ICIP96(II: 265-268).
IEEE DOI 9610
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
fMRI for Brain Connectivity Analysis .


Last update:Jul 28, 2021 at 22:23:09