{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T09:40:04Z","timestamp":1744882804539,"version":"3.40.4"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031869198","type":"print"},{"value":"9783031869204","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-86920-4_5","type":"book-chapter","created":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T08:58:03Z","timestamp":1744880283000},"page":"47-59","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Randomly COMMITting: Iterative Convex Optimization for\u00a0Microstructure-Informed Tractography"],"prefix":"10.1007","author":[{"given":"Sanna","family":"Persson","sequence":"first","affiliation":[]},{"given":"Xinyi","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Rodrigo","family":"Moreno","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,18]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117402","volume":"224","author":"G Bert\u00f2","year":"2021","unstructured":"Bert\u00f2, G., et al.: Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. Neuroimage 224, 117402 (2021). https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117402","journal-title":"Neuroimage"},{"key":"5_CR2","doi-asserted-by":"publisher","unstructured":"Daducci, A., Dal\u00a0Pal\u00fa, A., Descoteaux, M., Thiran, J.P.: Microstructure informed tractography: pitfalls and open challenges. Front. Neurosci. 10 (2016). https:\/\/doi.org\/10.3389\/fnins.2016.00247, publisher: undefined","DOI":"10.3389\/fnins.2016.00247"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"De\u00a0Benedictis, A., et\u00a0al.: New insights in the homotopic and heterotopic connectivity of the frontal portion of the human corpus callosum revealed by microdissection and diffusion tractography. Hum. Brain Mapp. 37(12), 4718\u20134735 (2016). Publisher: Wiley Online Library","DOI":"10.1002\/hbm.23339"},{"key":"5_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103101","volume":"93","author":"I Gabusi","year":"2024","unstructured":"Gabusi, I., Battocchio, M., Bosticardo, S., Schiavi, S., Daducci, A.: Blurred streamlines: a novel representation to reduce redundancy in tractography. Med. Image Anal. 93, 103101 (2024). https:\/\/doi.org\/10.1016\/j.media.2024.103101","journal-title":"Med. Image Anal."},{"key":"5_CR5","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","volume":"80","author":"MF Glasser","year":"2013","unstructured":"Glasser, M.F., et al.: The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80, 105\u2013124 (2013). https:\/\/doi.org\/10.1016\/j.neuroimage.2013.04.127","journal-title":"Neuroimage"},{"key":"5_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120248","volume":"278","author":"A Hain","year":"2023","unstructured":"Hain, A., J\u00f6rgens, D., Moreno, R.: Randomized iterative spherical-deconvolution informed tractogram filtering. Neuroimage 278, 120248 (2023). https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120248","journal-title":"Neuroimage"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Hau, J., et\u00a0al.: Revisiting the human uncinate fasciculus, its subcomponents and asymmetries with stem-based tractography and microdissection validation. Brain Struct. Function 222, 1645\u20131662 (2017). Publisher: Springer","DOI":"10.1007\/s00429-016-1298-6"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Henderson, F., Abdullah, K.G., Verma, R., Brem, S.: Tractography and the connectome in neurosurgical treatment of gliomas: the premise, the progress, and the potential. Neurosurg. Focus 48(2), E6 (2020). Publisher: American Association of Neurological Surgeons","DOI":"10.3171\/2019.11.FOCUS19785"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Jeurissen, B., Descoteaux, M., Mori, S., Leemans, A.: Diffusion MRI fiber tractography of the brain. NMR Biomed. 32(4), e3785 (2019). Publisher: Wiley Online Library","DOI":"10.1002\/nbm.3785"},{"key":"5_CR10","doi-asserted-by":"publisher","unstructured":"J\u00f6rgens, D., Descoteaux, M., Moreno, R.: Challenges for tractogram filtering. In: \u00d6zarslan, E., Schultz, T., Zhang, E., Fuster, A. (eds.) Anisotropy Across Fields and Scales. MV, pp. 149\u2013168. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-56215-1_7","DOI":"10.1007\/978-3-030-56215-1_7"},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"J\u00f6rgens, D., Jodoin, P.M., Descoteaux, M., Moreno, R.: Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering (2023). https:\/\/doi.org\/10.48550\/arXiv.2307.05786, arXiv:2307.05786 [cs]","DOI":"10.48550\/arXiv.2307.05786"},{"key":"5_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118706","volume":"245","author":"C Maffei","year":"2021","unstructured":"Maffei, C., et al.: Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data. Neuroimage 245, 118706 (2021). https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118706","journal-title":"Neuroimage"},{"key":"5_CR13","doi-asserted-by":"publisher","unstructured":"Maier-Hein, K.H., et al.: The challenge of mapping the human connectome based on diffusion tractography. Nat. Commun. 8(1), 1349 (2017). https:\/\/doi.org\/10.1038\/s41467-017-01285-x, Publisher: Nature Publishing Group","DOI":"10.1038\/s41467-017-01285-x"},{"key":"5_CR14","doi-asserted-by":"publisher","unstructured":"Persson, S., Moreno, R.: Bounding tractogram redundancy. Front. Neurosci. 18 (2024). https:\/\/doi.org\/10.3389\/fnins.2024.1403804, Publisher: Frontiers","DOI":"10.3389\/fnins.2024.1403804"},{"key":"5_CR15","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.neuroimage.2014.12.058","volume":"109","author":"C Presseau","year":"2015","unstructured":"Presseau, C., Jodoin, P.M., Houde, J.C., Descoteaux, M.: A new compression format for fiber tracking datasets. Neuroimage 109, 73\u201383 (2015). https:\/\/doi.org\/10.1016\/j.neuroimage.2014.12.058","journal-title":"Neuroimage"},{"issue":"7","key":"5_CR16","doi-asserted-by":"publisher","first-page":"2134","DOI":"10.1002\/hbm.25777","volume":"43","author":"F Rheault","year":"2022","unstructured":"Rheault, F., et al.: Tractostorm 2: optimizing tractography dissection reproducibility with segmentation protocol dissemination. Hum. Brain Mapp. 43(7), 2134\u20132147 (2022). https:\/\/doi.org\/10.1002\/hbm.25777","journal-title":"Hum. Brain Mapp."},{"key":"5_CR17","doi-asserted-by":"publisher","unstructured":"Schiavi, S., et\u00a0al.: A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information. Science Advances 6(31), eaba8245 (2020). https:\/\/doi.org\/10.1126\/sciadv.aba8245, Publisher: American Association for the Advancement of Science","DOI":"10.1126\/sciadv.aba8245"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Schilling, K.G., et al.: Challenges in diffusion MRI tractography - lessons learned from international benchmark competitions. Magn. Reson. Imaging 57, 194\u2013209 (2019)","DOI":"10.1016\/j.mri.2018.11.014"},{"key":"5_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118502","volume":"243","author":"KG Schilling","year":"2021","unstructured":"Schilling, K.G., et al.: Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset? Neuroimage 243, 118502 (2021). https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118502","journal-title":"Neuroimage"},{"key":"5_CR20","doi-asserted-by":"publisher","unstructured":"Siegbahn, M., Engm\u00e9r\u00a0Berglin, C., Moreno, R.: Automatic segmentation of the core of the acoustic radiation in humans. Front. Neurol. 13 (2022). https:\/\/doi.org\/10.3389\/fneur.2022.934650, Publisher: Frontiers","DOI":"10.3389\/fneur.2022.934650"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.neuroimage.2012.11.049","volume":"67","author":"RE Smith","year":"2013","unstructured":"Smith, R.E., Tournier, J.D., Calamante, F., Connelly, A.: SIFT: spherical-deconvolution informed filtering of tractograms. Neuroimage 67, 298\u2013312 (2013). https:\/\/doi.org\/10.1016\/j.neuroimage.2012.11.049","journal-title":"Neuroimage"},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/j.neuroimage.2015.06.092","volume":"119","author":"RE Smith","year":"2015","unstructured":"Smith, R.E., Tournier, J.D., Calamante, F., Connelly, A.: SIFT2: enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography. Neuroimage 119, 338\u2013351 (2015). https:\/\/doi.org\/10.1016\/j.neuroimage.2015.06.092","journal-title":"Neuroimage"},{"key":"5_CR23","unstructured":"Tournier, J.D., Calamante, F., Connelly, A.: Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions. In: Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), vol.\u00a01670. Wiley, Hoboken (2010). https:\/\/archive.ismrm.org\/2010\/1670.html"},{"key":"5_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116923","volume":"217","author":"S Warrington","year":"2020","unstructured":"Warrington, S., et al.: XTRACT - standardised protocols for automated tractography in the human and macaque brain. Neuroimage 217, 116923 (2020). https:\/\/doi.org\/10.1016\/j.neuroimage.2020.116923","journal-title":"Neuroimage"},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.neuroimage.2018.07.070","volume":"183","author":"J Wasserthal","year":"2018","unstructured":"Wasserthal, J., Neher, P., Maier-Hein, K.H.: TractSeg - fast and accurate white matter tract segmentation. Neuroimage 183, 239\u2013253 (2018). https:\/\/doi.org\/10.1016\/j.neuroimage.2018.07.070","journal-title":"Neuroimage"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Yang, J.Y.M., Yeh, C.H., Poupon, C., Calamante, F.: Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges. Phys. Med. Biol. 66(15), 15TR01 (2021), Publisher: IOP Publishing","DOI":"10.1088\/1361-6560\/ac0d90"},{"key":"5_CR27","doi-asserted-by":"crossref","unstructured":"Yeh, C.H., Jones, D.K., Liang, X., Descoteaux, M., Connelly, A.: Mapping structural connectivity using diffusion MRI: challenges and opportunities. J. Magn. Resonan. Imaging 53(6), 1666\u20131682 (2021). Publisher: Wiley Online Library","DOI":"10.1002\/jmri.27188"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, F., et\u00a0al.: Quantitative mapping of the brain\u2019s structural connectivity using diffusion MRI tractography: a review. Neuroimage 249, 118870 (2022). Publisher: Elsevier","DOI":"10.1016\/j.neuroimage.2021.118870"}],"container-title":["Lecture Notes in Computer Science","Computational Diffusion MRI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-86920-4_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T08:58:10Z","timestamp":1744880290000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-86920-4_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031869198","9783031869204"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-86920-4_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"18 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"CDMRI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Computational Diffusion MRI","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cdmri2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cmic.cs.ucl.ac.uk\/cdmri\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}