Preprint: Precision MRI phenotyping of muscle volume and quality at a population scale Marjola Thanaj, Nicolas Basty, Brandon Whitcher, Elena P. Sorokin, Yi Liu, Ramprakash Srinivasan, Madeleine Cule, E. Louise Thomas and Jimmy D. Bell 2023. Preprint: Precision MRI phenotyping of muscle volume and quality at a population scale. medRxiv. https://doi.org/10.1101/2023.03.02.23286689
Precision MRI phenotyping of muscle volume and quality at a population scale Thanaj, M., Basty, N., Whitcher, B., Sorokin, E., Liu, Y., Srinivasan, R., Cule, M., Thomas, E.L. and Bell, J.D. 2024. Precision MRI phenotyping of muscle volume and quality at a population scale. Frontiers in Physiology. 15 1288657. https://doi.org/10.3389/fphys.2024.1288657
2024
Liver Shape Analysis using Statistical Parametric Maps at Population Scale Thanaj, M., Basty, N., Cule, M., Sorokin, E., Whitcher, B., Bell, J.D. and Thomas, E.L. 2024. Liver Shape Analysis using Statistical Parametric Maps at Population Scale. BMC Medical Imaging. 24 15. https://doi.org/10.1186/s12880-023-01149-5
2023
Abdominal imaging associates body composition with COVID-19 severity Basty, N., Sorokin, E., Thanaj, M., Srinivasan, R., Whitcher, B., Bell, J.D., Cule, M. and Thomas, E.L. 2023. Abdominal imaging associates body composition with COVID-19 severity. PLoS ONE. 18 (4) e0283506. https://doi.org/10.1371/journal.pone.0283506
2023
Artifact-Free Fat-Water Separation in Dixon MRI using Deep Learning Basty, N., Thanaj, M., Cule, M., Sorokin, E., Liu, Y., Thomas, E.L., Bell, J.D. and Whitcher, B. 2023. Artifact-Free Fat-Water Separation in Dixon MRI using Deep Learning. Journal of Big Data. 10 4. https://doi.org/10.1186/s40537-022-00677-1
Large‑scale analysis of iliopsoas muscle volumes in the UK Biobank Fitzpatrick, J., Basty, N., Cule, M., Liu, Y., Bell, J.D., Thomas, E.L. and Whitcher, B. 2020. Large‑scale analysis of iliopsoas muscle volumes in the UK Biobank. Scientific Reports. 10 20215. https://doi.org/10.1038/s41598-020-77351-0
Neuroconductor: an R platform for medical imaging analysis Muschelli, J., Gherman, A., Fortin, J.P., Avants, B., Whitcher, B., Clayden, J.D., Caffo, B.S. and Crainiceanu, C.M. 2019. Neuroconductor: an R platform for medical imaging analysis. Biostatistics. 20 (2), pp. 218-239. https://doi.org/10.1093/biostatistics/kxx068
2018
Prostate cancer detection using quantitative T2 and T2-weighted imaging: The effects of 5-alpha-reductase inhibitors in men on active surveillance Giganti, F., Gambarota, G., Moore, C.M., Robertson, N.L., Mccartan, N., Jameson, C., Bott, S.R., Winkler, M., Whitcher, B., Castro-Santamaria, R., Emberton, M., Allen, C. and Kirkham, A. 2018. Prostate cancer detection using quantitative T2 and T2-weighted imaging: The effects of 5-alpha-reductase inhibitors in men on active surveillance. Journal of Magnetic Resonance Imaging. 47 (6), pp. 1646-1653. https://doi.org/10.1002/jmri.25891
The Effect of Dutasteride on Magnetic Resonance Imaging Defined Prostate Cancer: MAPPED—A Randomized, Placebo Controlled, Double-Blind Clinical Trial Moore, C.M., Robertson, N.L., Jichi, F., Damola, A., Ambler, G., Giganti, F., Ridout, A.J., Bott, S.R.J., Winkler, M., Ahmed, H.U., Arya, M., Mitra, A.V., McCartan, N., Freeman, A., Jameson, C., Castro, R., Gambarota, G., Whitcher, B., Allen, C., Kirkham, A. and Emberton, M. 2017. The Effect of Dutasteride on Magnetic Resonance Imaging Defined Prostate Cancer: MAPPED—A Randomized, Placebo Controlled, Double-Blind Clinical Trial. Journal of Urology. 197 (4), pp. 1006-1013. https://doi.org/10.1016/j.juro.2016.11.090
2016
Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function. Thomson, P.A., Duff, B., Blackwood, D.H., Romaniuk, L., Watson, A., Whalley, H.C., Li, X., Dauvermann, M.R., Moorhead, T.W., Bois, C., Ryan, N.M., Redpath, H., Hall, L., Morris, S.W., van Beek, E.J., Roberts, N., Porteous, D.J., St Clair, D., Whitcher, B. and Dunlop, J. 2016. Balanced translocation linked to psychiatric disorder, glutamate, and cortical structure/function. Schizophrenia. 2 16024. https://doi.org/10.1038/npjschz.2016.24
2015
Single-dose serotonergic stimulation shows widespread effects on functional brain connectivity Klaassens, B.L., van Gorsel, H.C., Khalili-Mahani, N., van der Grond, J., Wyman, B.T., Whitcher, B., Rombouts, S.A.R.B. and van Gerven, J.M.A. 2015. Single-dose serotonergic stimulation shows widespread effects on functional brain connectivity. NeuroImage. 122, pp. 440-450. https://doi.org/10.1016/j.neuroimage.2015.08.012
2015
The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophrenia Doyle, O.M., Bois, C., Thomson, P., Romaniuk, L., Whitcher, B., Williams, S.C.R., Turkheimer, F.E., Stefansson, H., McIntosh, A.M., Mehta, M.A. and Lawrie, S.M. 2015. The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophrenia. Journal of Clinical Investigation. 125 (9), pp. 3714-3722. https://doi.org/10.1172/jci82636
2015
Effects of a balanced translocation between chromosomes 1 and 11 disrupting the DISC1 locus on white matter integrity Whalley, H.C., Dimitrova, R., Sprooten, E., Dauvermann, M.R., Romaniuk, L., Duff, B., Watson, A.R., Moorhead, B., Bastin, M., Semple, S.I., Giles, S., Hall, J., Thomson, P., Roberts, N., Hughes, Z.A., Brandon, N.J., Dunlop, J., Whitcher, B., Blackwood, D.H.R., McIntosh, A.M. and Lawrie, S.M. 2015. Effects of a balanced translocation between chromosomes 1 and 11 disrupting the DISC1 locus on white matter integrity. PLoS ONE. 10 (6) e0130900. https://doi.org/10.1371/journal.pone.0130900
2014
Automated identification of brain new lesions in multiple sclerosis using subtraction images Battaglini, M., Rossi, F., Grove, R.A., Stromillo, M.L., Whitcher, B., Matthews, P.M. and De Stefano, N. 2014. Automated identification of brain new lesions in multiple sclerosis using subtraction images. Journal of Magnetic Resonance Imaging. 39 (6), pp. 1543-1549. https://doi.org/10.1002/jmri.24293
Verbal working memory and functional large-scale networks in schizophrenia Dauvermann, M.R., Moorhead, T.W., Watson, A.R., Duff, B., Romaniuk, L., Hall, J., Roberts, N., Lee, G.L., Hughes, Z.A., Brandon, N.J., Whitcher, B., Blackwood, D.H., McIntosh, A.M. and Lawrie, S.M. 2012. Verbal working memory and functional large-scale networks in schizophrenia. Psychiatry Research: Neuroimaging. 270, pp. 86-96. https://doi.org/10.1016/j.pscychresns.2017.10.004
2012
Using CSF biomarkers to replicate genetic associations in Alzheimer's disease. Schott, J.M., ADNI Investigators and Whitcher, B. 2012. Using CSF biomarkers to replicate genetic associations in Alzheimer's disease. Neurobiology of Aging. 33 (7), pp. 1486.e9-1486.e15. https://doi.org/10.1016/j.neurobiolaging.2011.02.008
Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging Leach, M.O., Morgan, B., Tofts, P.S., Buckley, D.L., Huang, W., Horsfield, M.A., Chenevert, T.L., Collins, D.J., Jackson, A., Lomas, D., Whitcher, B., Clarke, L., Plummer, R., Judson, I., Jones, R., Alonzi, R., Brunner, T., Koh, D.M., Murphy, P., Waterton, J.C., Parker, G., Graves, M.J., Scheenen, T.W.J., Redpath, T.W., Orton, M., Karczmar, G., Huisman, H., Barentsz, J. and Padhani, A. 2012. Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging. European Radiology. 22, pp. 1451-1464. https://doi.org/10.1007/s00330-012-2446-x
2012
BEaST: brain extraction based on nonlocal segmentation technique. Eskildsen, S.F., Coupé, P., Fonov, V., Manjón, J.V., Leung, K.K., Guizard, N., Wassef, S.N., Østergaard, L.R., Collins, D.L., Alzheimer's Disease Neuroimaging Initiative and Whitcher, B. 2012. BEaST: brain extraction based on nonlocal segmentation technique. NeuroImage. 59 (3), pp. 2362-2373. https://doi.org/10.1016/j.neuroimage.2011.09.012
Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models. Shen, K.K., Fripp, J., Mériaudeau, F., Chételat,G., Salvado, O., Bourgeat, P., Alzheimer's Disease Neuroimaging Initiative and Whitcher, B. 2012. Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models. NeuroImage. 59 (3), pp. 2155-2166. https://doi.org/10.1016/j.neuroimage.2011.10.014
2012
A Comparison of Gray Matter Density in Restless Legs Syndrome Patients and Matched Controls Using Voxel-Based Morphometry Comley, R.A., Cervenka, S., Palhagen, S.E., Panagiotidis, G., Matthews, J.C., Lai, R.Y., Halldin, C., Farde, L., Nichols, T.E. and Whitcher, B. 2012. A Comparison of Gray Matter Density in Restless Legs Syndrome Patients and Matched Controls Using Voxel-Based Morphometry. Journal of Neuroimaging. 22 (1), pp. 28-32. https://doi.org/10.1111/j.1552-6569.2010.00536.x
2012
Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease Inkster, B., Rao, A.W., Ridler, K., Filippini, N., Whitcher, B., Nichols, T.E., Wetten, S., Gibson, R.A., Borrie, M., Kertesz, A., Guzman, D.A., Loy-English, I., Williams, J., Saemann, P.G., Auer, D.P., Holsboer, F., Tozzi, F., Muglia, P., Merlo-Pich, E. and Matthews, P.M. 2012. Genetic variation in GOLM1 and prefrontal cortical volume in Alzheimer's disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2010.04.018
DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6 O'Connor, J.P.B., Rose, C.J., Jackson, A., Watson, Y., Cheung, S., Maders, F., Whitcher, B.J., Roberts, C., Buonaccorsi, G.A., Thompson, G., Clamp, A.R., Jayson, G.C. and Parker, G.J.M. 2011. DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6. British Journal of Cancer. 105, pp. 139-145. https://doi.org/10.1038/bjc.2011.191
2011
Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis. McEvoy, L.K., Holland, D., Hagler, D.J., Fennema-Notestine, C., Brewer, J.B., Dale, A.M., Alzheimer's Disease Neuroimaging Initiative and Whitcher, B. 2011. Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis. Radiology. 259 (3), pp. 834-843. https://doi.org/10.1148/radiol.11101975
2011
Image analysis and statistical inference in neuroimaging with R Tabelow, K., Clayden, J.D., Lafaye de Micheaux, P., Polzehl, J., Schmid, V.J. and Whitcher, B. 2011. Image analysis and statistical inference in neuroimaging with R. NeuroImage. 55 (4), pp. 1686-1693. https://doi.org/10.1016/j.neuroimage.2011.01.013
Validation and pilot application of [ 18F]FDG-PET in evaluation of a metabolic therapy for Alzheimer's disease Tzimopoulou, S., Cunningham, V.J., Nichols, T.E., Searle, G., Bird, N.P., Mistry, P., Dixon, I.J., Hallett, W.A., Whitcher, B., Brown, A.P., Zvartau-Hind, M., Lotay, N., Lai, R.Y.K., Castiglia, M., Jeter, B., Matthews, J.C., Chen, K., Bandy, D., Reiman, E.M., Gold, M., Rabiner, E.A. and Matthews, P.M. 2011. Validation and pilot application of [ 18F]FDG-PET in evaluation of a metabolic therapy for Alzheimer's disease. Advances in Alzheimer's Disease. 2, pp. 627-642. https://doi.org/10.3233/978-1-60750-793-2-627
2011
Working with the DICOM and NIfTI data standards in R Whitcher, B., Schmid, V.J. and Thornton, A. 2011. Working with the DICOM and NIfTI data standards in R. Journal of Statistical Software. 44 (6), pp. 1-29. https://doi.org/10.18637/jss.v044.i06
2011
Fine mapping of genetic variants in BIN1, CLU, CR1 and PICALM for association with cerebrospinal fluid biomarkers for Alzheimer's disease. Kauwe, J.S., Cruchaga, C., Karch, C.M., Sadle, B., Lee, M., Mayo, K., Latu, W., Su'a, M., Fagan, A.M., Holtzman, D.M., Morris, J.C., Alzheimer's Disease Neuroimaging Initiative, Goate, A.M. and Whitcher, B. 2011. Fine mapping of genetic variants in BIN1, CLU, CR1 and PICALM for association with cerebrospinal fluid biomarkers for Alzheimer's disease. PLoS ONE. 6 (2) e15918. https://doi.org/10.1371/journal.pone.0015918
2010
A Multi-Center Randomized Proof-of-Concept Clinical Trial Applying [18F]FDG-PET for Evaluation of Metabolic Therapy with Rosiglitazone XR in Mild to Moderate Alzheimer's Disease Tzimopoulou, S., Cunningham, V.J., Nichols, T.E., Searle, G., Bird, N.P., Mistry, P., Dixon, I.J., Hallett, W.A., Whitcher, B., Brown, A.P., Zvartau-Hind, M., Lotay, N., Lai, R.Y.K., Castiglia, M., Jeter, B., Matthews, J.C., Chen, K., Bandy, D., Reiman, E.M., Gold, M., Rabiner, E.A. and Matthews, P.M. 2010. A Multi-Center Randomized Proof-of-Concept Clinical Trial Applying [18F]FDG-PET for Evaluation of Metabolic Therapy with Rosiglitazone XR in Mild to Moderate Alzheimer's Disease. Journal of Alzheimer's Disease. 22 (4), pp. 1241-1256. https://doi.org/10.3233/jad-2010-100939
2010
Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative. Carmichael, O., Schwarz, C., Drucker, D., Fletcher, E., Harvey, D., Beckett, L., Jack, C.R., Weiner, M., DeCarli, C., Alzheimer's Disease Neuroimaging Initiative and Whitcher, B. 2010. Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative. Archives of Neurology. 67 (11), pp. 1370-1378. https://doi.org/10.1001/archneurol.2010.284
2010
Asymmetry of information flow between volatilities across time scales Gençay, R., Gradojevic, N., Selçuk, F. and Whitcher, B. 2010. Asymmetry of information flow between volatilities across time scales. Quantitative Finance. 10 (8), pp. 895-915. https://doi.org/10.1080/14697680903460143
2009
Quantifying spatial heterogeneity in dynamic contrast-enhanced MRI parameter maps Rose, C.J., Mills, S.J., O'Connor, J.P.B., Buonaccorsi, G.A., Roberts, C., Watson, Y., Cheung, S., Zhao, S., Whitcher, B., Jackson, A. and Parker, G.J.M. 2009. Quantifying spatial heterogeneity in dynamic contrast-enhanced MRI parameter maps. Magnetic Resonance in Medicine. 62 (2), pp. 488-499. https://doi.org/10.1002/mrm.22003
2009
Anatomically-distinct genetic associations of APOE e{open}4 allele load with regional cortical atrophy in Alzheimer's disease Filippini, N., Rao, A., Wetten, S., Gibson, R.A., Borrie, M., Guzman, D., Kertesz, A., Loy-English, I., Williams, J., Nichols, T., Whitcher, B. and Matthews, P.M. 2009. Anatomically-distinct genetic associations of APOE e{open}4 allele load with regional cortical atrophy in Alzheimer's disease. NeuroImage. 44 (3), pp. 724-728. https://doi.org/10.1016/j.neuroimage.2008.10.003
Variational Bayesian inference for a nonlinear forward model Chappell, M.A., Groves, A.R., Whitcher, B. and Woolrich, M.W. 2009. Variational Bayesian inference for a nonlinear forward model. IEEE Transactions on Signal Processing. 57 (1), pp. 223-236. https://doi.org/10.1109/tsp.2008.2005752
2008
Reproducibility of fMRI in the clinical setting: Implications for trial designs Bosnell, R., Wegner, C., Kincses, Z.T., Korteweg, T., Agosta, F., Ciccarelli, O., De Stefano, N., Gass, A., Hirsch, J., Johansen-Berg, H., Kappos, L., Barkhof, F., Mancini, L., Manfredonia, F., Marino, S., Miller, D.H., Montalban, X., Palace, J., Rocca, M., Enzinger, C., Ropele, S., Rovira, A., Smith, S., Thompson, A., Thornton, J., Yousry, T., Whitcher, B., Filippi, M. and Matthews, P.M. 2008. Reproducibility of fMRI in the clinical setting: Implications for trial designs. NeuroImage. 42 (2), pp. 603-610. https://doi.org/10.1016/j.neuroimage.2008.05.005
2008
A multi-resolution census algorithm for calculating vortex statistics in turbulent flows Whitcher, B., Lee, T.C.M., Weiss, J.B., Hoar, T.J. and Nychka, D.W. 2008. A multi-resolution census algorithm for calculating vortex statistics in turbulent flows. Journal of the Royal Statistical Society: Series C (Applied Statistics). 57 (3), pp. 293-312. https://doi.org/10.1111/j.1467-9876.2007.00614.x
Co-deposition of salmeterol and fluticasone propionate by a combination inhaler Theophilus, A., Moore, A., Prime, D., Rossomanno, S., Whitcher, B. and Chrystyn, H. 2006. Co-deposition of salmeterol and fluticasone propionate by a combination inhaler. International Journal of Pharmaceutics. 313 (1-2), pp. 14-22. https://doi.org/10.1016/j.ijpharm.2006.01.018
Multiscale systematic risk Gençay, R., Selçuk, F. and Whitcher, B. 2005. Multiscale systematic risk. Journal of International Money and Finance. 24 (1), pp. 55-70. https://doi.org/10.1016/j.jimonfin.2004.10.003
Wavelets and functional magnetic resonance imaging of the human brain Bullmore, E., Fadili, J., Maxim, V., Şendur, L., Whitcher, Brandon, Suckling, J., Brammer, M. and Breakspear, M. 2004. Wavelets and functional magnetic resonance imaging of the human brain. NeuroImage. 23 (1), pp. S234-S249. https://doi.org/10.1016/j.neuroimage.2004.07.012
Systematic risk and timescales Gençay, R., Selçuk, F. and Whitcher, B. 2003. Systematic risk and timescales. Quantitative Finance. 3 (2), pp. 108-116. https://doi.org/10.1088/1469-7688/3/2/305
Scaling properties of foreign exchange volatility Gençay, R., Selçuk, F. and Whitcher, Brandon 2001. Scaling properties of foreign exchange volatility. Physica A: Statistical Mechanics and its Applications. 289 (1-2), pp. 249-266. https://doi.org/10.1016/s0378-4371(00)00456-8
2001
Simulating gaussian stationary processes with unbounded spectra Whitcher, B. 2001. Simulating gaussian stationary processes with unbounded spectra. Journal of Computational and Graphical Statistics. 10 (1), pp. 112-134. https://doi.org/10.1198/10618600152418674
2001
Differentiating intraday seasonalities through wavelet multi-scaling Gençay, R., Selçuk, F. and Whitcher, B. 2001. Differentiating intraday seasonalities through wavelet multi-scaling. Physica A: Statistical Mechanics and its Applications. 289 (3-4), pp. 543-556. https://doi.org/10.1016/s0378-4371(00)00463-5
2000
Wavelet analysis of covariance with application to atmospheric time series Whitcher, Brandon, Guttorp, P. and Percival, D.B. 2000. Wavelet analysis of covariance with application to atmospheric time series. Journal of Geophysical Research Atmospheres. 105 (D11), pp. 14941-14962 2000JD900110. https://doi.org/10.1029/2000JD900110
2000
Wavelet estimation of a local long memory parameter Whitcher, B. and Jensen, M.J. 2000. Wavelet estimation of a local long memory parameter. Exploration Geophysics. 31 (1-2), pp. 94-103. https://doi.org/10.1071/eg00094
2021
Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes Thanaj, M., Basty, N., Liu, Y., Cule, M., Sorokin, E., Thomas, E.L., Bell, J.D. and Whitcher, B. 2021. Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes. Annual Conference on Medical Image Understanding and Analysis. University of Oxford 12 - 14 Jul 2021 Springer. https://doi.org/10.1007/978-3-030-80432-9_13
2020
Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data Basty, N., Liu, Y., Cule, M., Thomas, E.L., Bell, J.D. and Whitcher, B. 2020. Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weghted MRI Data. International Symposium on Biomedical Imaging 2020. Iowa City, USA 03 - 07 Apr 2020 IEEE . https://doi.org/10.1109/ISBI45749.2020.9098650
2019
Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81
Quantifying heterogeneity in dynamic contrast-enhanced MRI parameter maps Rose, C.J., Mills, S., O'Connor, J.P.B., Buonaccorsi, G.A., Roberts, C., Watson, Y., Whitcher, B., Jayson, G., Jackson, A. and Parker, G.J.M. 2007. Quantifying heterogeneity in dynamic contrast-enhanced MRI parameter maps. MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. Brisbane, Australia 29 Oct - 02 Nov 2007 Springer. https://doi.org/10.1007/978-3-540-75759-7_46
2006
Semi-parametric analysis of dynamic contrast-enhanced MRI using bayesian P-splines Schmid, V.J., Whitcher, B. and Yang, G.-Z. 2006. Semi-parametric analysis of dynamic contrast-enhanced MRI using bayesian P-splines. MICCAI 2006: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Copenhagen, Denmark 01 - 06 Oct 2006 Springer. https://doi.org/10.1007/11866565_83
2005
Statistical analysis of pharmacokinetic models in dynamic contrast-enhanced magnetic resonance imaging. Schmid, V.J., Whitcher, B.J., Yang, G.Z., Taylor, N.J., Padhani, A.R. and Whitcher, B. 2005. Statistical analysis of pharmacokinetic models in dynamic contrast-enhanced magnetic resonance imaging. MICCAI 2005: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. Palm Springs, CA, USA 26 - 29 Oct 2005 Springer. https://doi.org/10.1007/11566489_109
2004
Identifying and tracking turbulence structures Storlie, C., Davis, C., Hoar, T., Lee, T., Nychka, D., Weiss, J.B. and Whitcher, Brandon 2004. Identifying and tracking turbulence structures. 38th Asilomar Conference on Signals, Systems and Computers. California, USA 07-10 IEEE . https://doi.org/10.1109/ACSSC.2004.1399449
2011
Special volume on Magnetic Resonance Imaging in R Tabelow, K. and Whitcher, B. 2011. Special volume on Magnetic Resonance Imaging in R. Journal of Statistical Software. 44 (1), pp. 1-6. https://doi.org/10.18637/jss.v044.i01
Stochastic Multiresolution Models for Turbulence Whitcher, Brandon, Weiss, J.B., Nychka, D.W. and Hoar, T.J. 2003. Stochastic Multiresolution Models for Turbulence. in: Recent Advances and Trends in Nonparametric Statistics Elsevier. pp. 497-509
Usage Statistics
5676 total views of outputs
2069 total downloads of outputs
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.