@@ -301,8 +301,8 @@ Some brief notes on the development setup for this repository are provided in a
301301This software is licensed under BSD Clause 3. See the [ LICENSE] ( LICENSE ) file for details.
302302
303303FSL is released under a 'free for non-commercial purposes license', and
304- is bundled with third-party libraries 'released under a range of different open source licenses'.
305- See the [ FSL license] ( https://fsl.fmrib.ox.ac.uk/fsl/docs/#/license ) for full details.
304+ is bundled with third-party libraries 'released under a range of different open source licenses'.
305+ See the [ FSL license] ( https://fsl.fmrib.ox.ac.uk/fsl/docs/#/license ) for full details.
306306
307307## Contributors
308308
@@ -316,3 +316,35 @@ Neda Jahanshad, Dr Conor Owens-Walton and Miss Sunanda Somu and Dr Chris Vriend.
316316Academy of Medical Sciences and Professor Schrag for directly supporting the project. The Centre for Advanced Research
317317Computing at UCL. All members of the ENIGMA-PD core team. Professor Laura Parkes and the University of Manchester
318318computing facilities.
319+
320+ ## Citations
321+
322+ ` FSL ` :
323+
324+ - M. Jenkinson, C.F. Beckmann, T.E. Behrens, M.W. Woolrich, S.M. Smith. FSL.
325+ NeuroImage, 62:782-90, 2012
326+
327+ - Jenkinson, M., Bannister, P., Brady, J. M. and Smith, S. M. Improved Optimisation for the
328+ Robust and Accurate Linear Registration and Motion Correction of Brain Images.
329+ NeuroImage, 17(2), 825-841, 2002.
330+
331+ - Andersson JLR, Jenkinson M, Smith S (2010) Non-linear registration, aka spatial normalisation.
332+ FMRIB technical report TR07JA2
333+
334+ - Zhang, Y. and Brady, M. and Smith, S. Segmentation of brain MR images through a
335+ hidden Markov random field model and the expectation-maximization algorithm.
336+ IEEE Trans Med Imag, 20(1):45-57, 2001
337+
338+ - L. Griffanti, G. Zamboni, A. Khan, L. Li, G. Bonifacio, V. Sundaresan,
339+ U. G. Schulz, W. Kuker, M. Battaglini, P. M. Rothwell, M. Jenkinson (2016)
340+ BIANCA (Brain Intensity AbNormality Classification Algorithm): a new tool for
341+ automated segmentation of white matter hyperintensities. Neuroimage. 141:191-205
342+
343+ ` UNets ` :
344+
345+ - Park, G., Hong, J., Duffy, B. A., Lee, J. M., & Kim, H. (2021). White matter hyperintensities segmentation
346+ using the ensemble U-Net with multi-scale highlighting foregrounds.Neuroimage, 237, 118140.
347+
348+ ` Nipoppy ` :
349+
350+ - < https://github.com/nipoppy/nipoppy.git > , doi: 10.5281/zenodo.8084759
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