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Items: 1 to 50 of 131

1.

Longitudinal Mapping of Cortical Thickness Measurements: An Alzheimer's Disease Neuroimaging Initiative-Based Evaluation Study.

Tustison NJ, Holbrook AJ, Avants BB, Roberts JM, Cook PA, Reagh ZM, Duda JT, Stone JR, Gillen DL, Yassa MA; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2019;71(1):165-183. doi: 10.3233/JAD-190283.

PMID:
31356207
2.

Learning image-based spatial transformations via convolutional neural networks: A review.

Tustison NJ, Avants BB, Gee JC.

Magn Reson Imaging. 2019 Dec;64:142-153. doi: 10.1016/j.mri.2019.05.037. Epub 2019 Jun 11. Review.

PMID:
31200026
3.

Multivariate MR biomarkers better predict cognitive dysfunction in mouse models of Alzheimer's disease.

Badea A, Delpratt NA, Anderson RJ, Dibb R, Qi Y, Wei H, Liu C, Wetsel WC, Avants BB, Colton C.

Magn Reson Imaging. 2019 Jul;60:52-67. doi: 10.1016/j.mri.2019.03.022. Epub 2019 Mar 30.

PMID:
30940494
4.

Magnetic Entropy as a Proposed Gating Mechanism for Magnetogenetic Ion Channels.

Duret G, Polali S, Anderson ED, Bell AM, Tzouanas CN, Avants BW, Robinson JT.

Biophys J. 2019 Feb 5;116(3):454-468. doi: 10.1016/j.bpj.2019.01.003. Epub 2019 Jan 8.

PMID:
30665695
5.

Small Animal Multivariate Brain Analysis (SAMBA) - a High Throughput Pipeline with a Validation Framework.

Anderson RJ, Cook JJ, Delpratt N, Nouls JC, Gu B, McNamara JO, Avants BB, Johnson GA, Badea A.

Neuroinformatics. 2019 Jul;17(3):451-472. doi: 10.1007/s12021-018-9410-0.

6.

Amyloid beta-positive subjects exhibit longitudinal network-specific reductions in spontaneous brain activity.

Avants BB, Hutchison RM, Mikulskis A, Salinas-Valenzuela C, Hargreaves R, Beaver J, Chiao P; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2019 Feb;74:191-201. doi: 10.1016/j.neurobiolaging.2018.10.002. Epub 2018 Oct 11.

PMID:
30471630
7.

Integrated light-sheet illumination using metallic slit microlenses.

Ye F, Avants BW, Veeraraghavan A, Robinson JT.

Opt Express. 2018 Oct 15;26(21):27326-27338. doi: 10.1364/OE.26.027326.

PMID:
30469803
8.

Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

Tustison NJ, Avants BB, Lin Z, Feng X, Cullen N, Mata JF, Flors L, Gee JC, Altes TA, Mugler Iii JP, Qing K.

Acad Radiol. 2019 Mar;26(3):412-423. doi: 10.1016/j.acra.2018.08.003. Epub 2018 Sep 6.

PMID:
30195415
9.

Microfluidics for electrophysiology, imaging, and behavioral analysis of Hydra.

Badhiwala KN, Gonzales DL, Vercosa DG, Avants BW, Robinson JT.

Lab Chip. 2018 Aug 21;18(17):2523-2539. doi: 10.1039/c8lc00475g.

PMID:
29987278
10.

Impact of Reference and Target Region Selection on Amyloid PET SUV Ratios in the Phase 1b PRIME Study of Aducanumab.

Chiao P, Bedell BJ, Avants B, Zijdenbos AP, Grand'Maison M, O'Neill P, O'Gorman J, Chen T, Koeppe R.

J Nucl Med. 2019 Jan;60(1):100-106. doi: 10.2967/jnumed.118.209130. Epub 2018 May 18.

PMID:
29777003
11.

Neuroconductor: an R platform for medical imaging analysis.

Muschelli J, Gherman A, Fortin JP, Avants B, Whitcher B, Clayden JD, Caffo BS, Crainiceanu CM.

Biostatistics. 2019 Apr 1;20(2):218-239. doi: 10.1093/biostatistics/kxx068.

PMID:
29325029
12.

Single-frame 3D fluorescence microscopy with ultraminiature lensless FlatScope.

Adams JK, Boominathan V, Avants BW, Vercosa DG, Ye F, Baraniuk RG, Robinson JT, Veeraraghavan A.

Sci Adv. 2017 Dec 8;3(12):e1701548. doi: 10.1126/sciadv.1701548. eCollection 2017 Dec.

13.

Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations.

Pustina D, Avants B, Faseyitan OK, Medaglia JD, Coslett HB.

Neuropsychologia. 2018 Jul 1;115:154-166. doi: 10.1016/j.neuropsychologia.2017.08.027. Epub 2017 Sep 5.

PMID:
28882479
14.

Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions.

Pustina D, Coslett HB, Ungar L, Faseyitan OK, Medaglia JD, Avants B, Schwartz MF.

Hum Brain Mapp. 2017 Nov;38(11):5603-5615. doi: 10.1002/hbm.23752. Epub 2017 Aug 7.

15.

A population level atlas of Mus musculus craniofacial skeleton and automated image-based shape analysis.

Maga AM, Tustison NJ, Avants BB.

J Anat. 2017 Sep;231(3):433-443. doi: 10.1111/joa.12645. Epub 2017 Jun 28.

16.

Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood.

Gennatas ED, Avants BB, Wolf DH, Satterthwaite TD, Ruparel K, Ciric R, Hakonarson H, Gur RE, Gur RC.

J Neurosci. 2017 May 17;37(20):5065-5073. doi: 10.1523/JNEUROSCI.3550-16.2017. Epub 2017 Apr 21.

17.

Scalable electrophysiology in intact small animals with nanoscale suspended electrode arrays.

Gonzales DL, Badhiwala KN, Vercosa DG, Avants BW, Liu Z, Zhong W, Robinson JT.

Nat Nanotechnol. 2017 Jul;12(7):684-691. doi: 10.1038/nnano.2017.55. Epub 2017 Apr 17.

18.

Deep imaging in scattering media with selective plane illumination microscopy.

Pediredla AK, Zhang S, Avants B, Ye F, Nagayama S, Chen Z, Kemere C, Robinson JT, Veeraraghavan A.

J Biomed Opt. 2016 Dec 1;21(12):126009. doi: 10.1117/1.JBO.21.12.126009.

19.

Effect of socioeconomic status (SES) disparity on neural development in female African-American infants at age 1 month.

Betancourt LM, Avants B, Farah MJ, Brodsky NL, Wu J, Ashtari M, Hurt H.

Dev Sci. 2016 Nov;19(6):947-956. doi: 10.1111/desc.12344. Epub 2015 Oct 21.

PMID:
26489876
20.

Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.

Xie L, Pluta JB, Das SR, Wisse LEM, Wang H, Mancuso L, Kliot D, Avants BB, Ding SL, Manjón JV, Wolk DA, Yushkevich PA.

Neuroimage. 2017 Jan 1;144(Pt A):183-202. doi: 10.1016/j.neuroimage.2016.09.070. Epub 2016 Oct 1.

21.

White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration.

Kandel BM, Avants BB, Gee JC, McMillan CT, Erus G, Doshi J, Davatzikos C, Wolk DA.

Alzheimers Dement (Amst). 2016 Apr 7;4:18-27. doi: 10.1016/j.dadm.2016.03.001. eCollection 2016.

22.

Arterial spin labeling perfusion predicts longitudinal decline in semantic variant primary progressive aphasia.

Olm CA, Kandel BM, Avants BB, Detre JA, Gee JC, Grossman M, McMillan CT.

J Neurol. 2016 Oct;263(10):1927-38. doi: 10.1007/s00415-016-8221-1. Epub 2016 Jul 5.

23.

High-density three-dimensional localization microscopy across large volumes.

Legant WR, Shao L, Grimm JB, Brown TA, Milkie DE, Avants BB, Lavis LD, Betzig E.

Nat Methods. 2016 Apr;13(4):359-65. doi: 10.1038/nmeth.3797. Epub 2016 Mar 7.

24.

Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis.

Pustina D, Coslett HB, Turkeltaub PE, Tustison N, Schwartz MF, Avants B.

Hum Brain Mapp. 2016 Apr;37(4):1405-21. doi: 10.1002/hbm.23110. Epub 2016 Jan 12.

25.

Relation of Childhood Home Environment to Cortical Thickness in Late Adolescence: Specificity of Experience and Timing.

Avants BB, Hackman DA, Betancourt LM, Lawson GM, Hurt H, Farah MJ.

PLoS One. 2015 Oct 28;10(10):e0138217. doi: 10.1371/journal.pone.0138217. eCollection 2015.

26.

Predicting the laterality of temporal lobe epilepsy from PET, MRI, and DTI: A multimodal study.

Pustina D, Avants B, Sperling M, Gorniak R, He X, Doucet G, Barnett P, Mintzer S, Sharan A, Tracy J.

Neuroimage Clin. 2015 Jul 31;9:20-31. doi: 10.1016/j.nicl.2015.07.010. eCollection 2015.

27.

Assessment of MRI-Based Automated Fetal Cerebral Cortical Folding Measures in Prediction of Gestational Age in the Third Trimester.

Wu J, Awate SP, Licht DJ, Clouchoux C, du Plessis AJ, Avants BB, Vossough A, Gee JC, Limperopoulos C.

AJNR Am J Neuroradiol. 2015 Jul;36(7):1369-74. doi: 10.3174/ajnr.A4357. Epub 2015 Jun 4.

28.

The pediatric template of brain perfusion.

Avants BB, Duda JT, Kilroy E, Krasileva K, Jann K, Kandel BT, Tustison NJ, Yan L, Jog M, Smith R, Wang Y, Dapretto M, Wang DJ.

Sci Data. 2015 Feb 3;2:150003. doi: 10.1038/sdata.2015.3. eCollection 2015.

29.

Neuropsychological Testing Predicts Cerebrospinal Fluid Amyloid-β in Mild Cognitive Impairment.

Kandel BM, Avants BB, Gee JC, Arnold SE, Wolk DA; Alzheimer’s Disease Neuroimaging Initiative1.

J Alzheimers Dis. 2015;46(4):901-12. doi: 10.3233/JAD-142943.

30.

Neuroinformatics and the The Insight ToolKit.

Avants BB, Johnson HJ, Tustison NJ.

Front Neuroinform. 2015 Mar 26;9:5. doi: 10.3389/fninf.2015.00005. eCollection 2015. No abstract available.

31.

NeuroPG: open source software for optical pattern generation and data acquisition.

Avants BW, Murphy DB, Dapello JA, Robinson JT.

Front Neuroeng. 2015 Mar 2;8:1. doi: 10.3389/fneng.2015.00001. eCollection 2015.

32.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Menze BH, Jakab A, Bauer S, Kalpathy-Cramer J, Farahani K, Kirby J, Burren Y, Porz N, Slotboom J, Wiest R, Lanczi L, Gerstner E, Weber MA, Arbel T, Avants BB, Ayache N, Buendia P, Collins DL, Cordier N, Corso JJ, Criminisi A, Das T, Delingette H, Demiralp Ç, Durst CR, Dojat M, Doyle S, Festa J, Forbes F, Geremia E, Glocker B, Golland P, Guo X, Hamamci A, Iftekharuddin KM, Jena R, John NM, Konukoglu E, Lashkari D, Mariz JA, Meier R, Pereira S, Precup D, Price SJ, Raviv TR, Reza SM, Ryan M, Sarikaya D, Schwartz L, Shin HC, Shotton J, Silva CA, Sousa N, Subbanna NK, Szekely G, Taylor TJ, Thomas OM, Tustison NJ, Unal G, Vasseur F, Wintermark M, Ye DH, Zhao L, Zhao B, Zikic D, Prastawa M, Reyes M, Van Leemput K.

IEEE Trans Med Imaging. 2015 Oct;34(10):1993-2024. doi: 10.1109/TMI.2014.2377694. Epub 2014 Dec 4. Review.

33.

Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge.

Išgum I, Benders MJ, Avants B, Cardoso MJ, Counsell SJ, Gomez EF, Gui L, Hűppi PS, Kersbergen KJ, Makropoulos A, Melbourne A, Moeskops P, Mol CP, Kuklisova-Murgasova M, Rueckert D, Schnabel JA, Srhoj-Egekher V, Wu J, Wang S, de Vries LS, Viergever MA.

Med Image Anal. 2015 Feb;20(1):135-51. doi: 10.1016/j.media.2014.11.001. Epub 2014 Nov 15.

PMID:
25487610
34.

Decomposing cerebral blood flow MRI into functional and structural components: a non-local approach based on prediction.

Kandel BM, Wang DJ, Detre JA, Gee JC, Avants BB.

Neuroimage. 2015 Jan 15;105:156-70. doi: 10.1016/j.neuroimage.2014.10.052. Epub 2014 Nov 1.

35.

Eigenanatomy: sparse dimensionality reduction for multi-modal medical image analysis.

Kandel BM, Wang DJ, Gee JC, Avants BB.

Methods. 2015 Feb;73:43-53. doi: 10.1016/j.ymeth.2014.10.016. Epub 2014 Oct 22.

36.

Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR.

Tustison NJ, Shrinidhi KL, Wintermark M, Durst CR, Kandel BM, Gee JC, Grossman MC, Avants BB.

Neuroinformatics. 2015 Apr;13(2):209-25. doi: 10.1007/s12021-014-9245-2.

PMID:
25433513
37.

Single-subject structural networks with closed-form rotation invariant matching mprove power in developmental studies of the cortex.

Kandel BM, Wang DJ, Gee JC, Avants BB.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):137-44.

PMID:
25320792
38.

Automatic clustering and thickness measurement of anatomical variants of the human perirhinal cortex.

Xie L, Pluta J, Wang H, Das SR, Mancuso L, Kliot D, Avants BB, Ding SL, Wolk DA, Yushkevich PA.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):81-8.

39.

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.

Tustison NJ, Cook PA, Klein A, Song G, Das SR, Duda JT, Kandel BM, van Strien N, Stone JR, Gee JC, Avants BB.

Neuroimage. 2014 Oct 1;99:166-79. doi: 10.1016/j.neuroimage.2014.05.044. Epub 2014 May 29.

PMID:
24879923
40.

Subject-specific functional parcellation via prior based eigenanatomy.

Dhillon PS, Wolk DA, Das SR, Ungar LH, Gee JC, Avants BB.

Neuroimage. 2014 Oct 1;99:14-27. doi: 10.1016/j.neuroimage.2014.05.026. Epub 2014 May 20.

41.

Relating brain anatomy and cognitive ability using a multivariate multimodal framework.

Cook PA, McMillan CT, Avants BB, Peelle JE, Gee JC, Grossman M.

Neuroimage. 2014 Oct 1;99:477-86. doi: 10.1016/j.neuroimage.2014.05.008. Epub 2014 May 13.

42.

The Insight ToolKit image registration framework.

Avants BB, Tustison NJ, Stauffer M, Song G, Wu B, Gee JC.

Front Neuroinform. 2014 Apr 28;8:44. doi: 10.3389/fninf.2014.00044. eCollection 2014.

43.

The power of neuroimaging biomarkers for screening frontotemporal dementia.

McMillan CT, Avants BB, Cook P, Ungar L, Trojanowski JQ, Grossman M.

Hum Brain Mapp. 2014 Sep;35(9):4827-40. doi: 10.1002/hbm.22515. Epub 2014 Mar 31.

44.

Fusing functional signals by sparse canonical correlation analysis improves network reproducibility.

Duda JT, Detre JA, Kim J, Gee JC, Avants BB.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):635-42.

45.

RECONSTRUCTION OF THE HUMAN HIPPOCAMPUS IN 3D FROM HISTOLOGY AND HIGH-RESOLUTION EX-VIVO MRI.

Adler DH, Liu AY, Pluta J, Kadivar S, Orozco S, Wang H, Gee JC, Avants BB, Yushkevich PA.

Proc IEEE Int Symp Biomed Imaging. 2012 Dec 31;2012:294-297.

46.

Explicit B-spline regularization in diffeomorphic image registration.

Tustison NJ, Avants BB.

Front Neuroinform. 2013 Dec 23;7:39. doi: 10.3389/fninf.2013.00039. eCollection 2013.

47.

Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration.

McMillan CT, Toledo JB, Avants BB, Cook PA, Wood EM, Suh E, Irwin DJ, Powers J, Olm C, Elman L, McCluskey L, Schellenberg GD, Lee VM, Trojanowski JQ, Van Deerlin VM, Grossman M.

Neurobiol Aging. 2014 Jun;35(6):1473-82. doi: 10.1016/j.neurobiolaging.2013.11.029. Epub 2013 Dec 2.

48.

Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population.

Avants BB, Libon DJ, Rascovsky K, Boller A, McMillan CT, Massimo L, Coslett HB, Chatterjee A, Gross RG, Grossman M.

Neuroimage. 2014 Jan 1;84:698-711. doi: 10.1016/j.neuroimage.2013.09.048. Epub 2013 Oct 2.

49.

Instrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciences.

Tustison NJ, Johnson HJ, Rohlfing T, Klein A, Ghosh SS, Ibanez L, Avants BB.

Front Neurosci. 2013 Sep 9;7:162. doi: 10.3389/fnins.2013.00162. eCollection 2013. No abstract available.

50.

Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.

Adler DH, Pluta J, Kadivar S, Craige C, Gee JC, Avants BB, Yushkevich PA.

Neuroimage. 2014 Jan 1;84:505-23. doi: 10.1016/j.neuroimage.2013.08.067. Epub 2013 Sep 12.

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