{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T03:55:48Z","timestamp":1769831748893,"version":"3.49.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031721038","type":"print"},{"value":"9783031721045","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72104-5_70","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:02:53Z","timestamp":1727870573000},"page":"732-742","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["UnWave-Net: Unrolled Wavelet Network for\u00a0Compton Tomography Image Reconstruction"],"prefix":"10.1007","author":[{"given":"Ishak","family":"Ayad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9cilia","family":"Tarpau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Cebeiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ma\u00ef K.","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"70_CR1","first-page":"1","volume":"28","author":"SJ Norton","year":"2019","unstructured":"Norton, S.J.: Compton-scattering tomography with one source and one detector: a simple derivation of the filtered-backprojection solution. Inverse Probl. Sci. Eng. 28, 1\u201312 (2019)","journal-title":"Inverse Probl. Sci. Eng."},{"key":"70_CR2","doi-asserted-by":"crossref","unstructured":"Truong, T.T., Nguyen, M.K.: Radon transforms on generalized Cormack\u2019s curves and a new Compton scatter tomography modality. Inverse Probl. 27 (2011)","DOI":"10.1088\/0266-5611\/27\/12\/125001"},{"key":"70_CR3","first-page":"433","volume":"4","author":"C Tarpau","year":"2020","unstructured":"Tarpau, C., Cebeiro, J., Morvidone, M.A., Nguyen, M.K.: A new concept of Compton scattering tomography and the development of the corresponding circular Radon transform. IEEE TRPMS 4, 433\u2013440 (2020)","journal-title":"IEEE TRPMS"},{"key":"70_CR4","doi-asserted-by":"crossref","unstructured":"Tarpau, C., Nguyen, M.K.: Compton scattering imaging system with two scanning configurations. J. Electron. Imaging 29 (2020)","DOI":"10.1117\/1.JEI.29.1.013005"},{"key":"70_CR5","first-page":"958","volume":"6","author":"C Tarpau","year":"2020","unstructured":"Tarpau, C., et al.: Analytic inversion of a Radon transform on double circular arcs with applications in Compton scattering tomography. IEEE TCI 6, 958\u2013967 (2020)","journal-title":"IEEE TCI"},{"key":"70_CR6","doi-asserted-by":"publisher","first-page":"054001","DOI":"10.1088\/1361-6420\/abf0f0","volume":"37","author":"J Cebeiro","year":"2021","unstructured":"Cebeiro, J., et al.: On a three-dimensional Compton scattering tomography system with fixed source. Inverse Probl. 37, 054001 (2021)","journal-title":"Inverse Probl."},{"key":"70_CR7","doi-asserted-by":"publisher","first-page":"025007","DOI":"10.1088\/1361-6420\/ab4a32","volume":"36","author":"J Webber","year":"2020","unstructured":"Webber, J., Miller, E.L.: Compton scattering tomography in translational geometries. Inverse Probl. 36, 025007 (2020)","journal-title":"Inverse Probl."},{"key":"70_CR8","unstructured":"Truong, T.T., Nguyen, M.K.: Recent developments on compton scatter tomography: theory and numerical simulations. IntechOpen (2012)"},{"key":"70_CR9","doi-asserted-by":"publisher","first-page":"4509","DOI":"10.1109\/TIP.2017.2713099","volume":"26","author":"KH Jin","year":"2017","unstructured":"Jin, K.H., et al.: Deep convolutional neural network for inverse problems in imaging. IEEE Trans. Image Process. 26, 4509\u20134522 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"70_CR10","first-page":"1407","volume":"37","author":"Z Zhang","year":"2018","unstructured":"Zhang, Z., et al.: A sparse-view CT reconstruction method based on combination of DenseNet and deconvolution. IEEE TMI 37, 1407\u20131417 (2018)","journal-title":"IEEE TMI"},{"key":"70_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/978-3-031-17247-2_9","volume-title":"Machine Learning for Medical Image Reconstruction","author":"C Wang","year":"2022","unstructured":"Wang, C., et al.: DuDoTrans: dual-domain transformer for sparse-view CT reconstruction. In: Haq, N., Johnson, P., Maier, A., Qin, C., W\u00fcrfl, T., Yoo, J. (eds.) MLMIR 2022. LNCS, vol. 13587, pp. 84\u201394. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-17247-2_9"},{"key":"70_CR12","doi-asserted-by":"crossref","unstructured":"Li, Z., et\u00a0al.: Learning to distill global representation for sparse-view CT. In: ICCV, pp. 21196\u201321207 (2023)","DOI":"10.1109\/ICCV51070.2023.01938"},{"key":"70_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/978-3-030-59713-9_7","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"A Sriram","year":"2020","unstructured":"Sriram, A., et al.: End-to-end variational networks for accelerated MRI reconstruction. In: Martel, A.L., et al. (eds.) MICCAI 2020. LNCS, vol. 12262, pp. 64\u201373. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59713-9_7"},{"key":"70_CR14","unstructured":"Fabian, Z., Tinaz, B., Soltanolkotabi, M.: HUMUS-net: hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction. In: NeurIPS (2022)"},{"key":"70_CR15","first-page":"1322","volume":"37","author":"J Adler","year":"2018","unstructured":"Adler, J., \u00d6ktem, O.: Learned primal-dual reconstruction. IEEE TMI 37, 1322\u20131332 (2018)","journal-title":"IEEE TMI"},{"key":"70_CR16","first-page":"1440","volume":"37","author":"G Harshit","year":"2018","unstructured":"Harshit, G., et al.: CNN-based projected gradient descent for consistent CT image reconstruction. IEEE TMI 37, 1440\u20131453 (2018)","journal-title":"IEEE TMI"},{"key":"70_CR17","first-page":"1333","volume":"37","author":"H Chen","year":"2018","unstructured":"Chen, H., et al.: LEARN: learned experts\u2019 assessment-based reconstruction network for sparse-data CT. IEEE TMI 37, 1333\u20131347 (2018)","journal-title":"IEEE TMI"},{"key":"70_CR18","doi-asserted-by":"publisher","first-page":"115011","DOI":"10.1088\/1361-6560\/ab1aba","volume":"64","author":"J Wang","year":"2019","unstructured":"Wang, J., et al.: ADMM-based deep reconstruction for limited-angle CT. Phys. Med. Biol. 64, 115011 (2019)","journal-title":"Phys. Med. Biol."},{"key":"70_CR19","first-page":"1778","volume":"41","author":"H Dianlin","year":"2022","unstructured":"Dianlin, H., et al.: DIOR: deep iterative optimization-based residual-learning for limited-angle CT reconstruction. IEEE TMI 41, 1778\u20131790 (2022)","journal-title":"IEEE TMI"},{"key":"70_CR20","first-page":"1329","volume":"40","author":"X Jinxi","year":"2021","unstructured":"Jinxi, X., Yonggui, D., Yunjie, Y.: FISTA-net: learning a fast iterative shrinkage thresholding network for inverse problems in imaging. IEEE TMI 40, 1329\u20131339 (2021)","journal-title":"IEEE TMI"},{"key":"70_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1007\/978-3-031-16446-0_75","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2022","author":"W Xia","year":"2022","unstructured":"Xia, W., et al.: Transformer-based iterative reconstruction model for sparse-view CT reconstruction. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) MICCAI 2022. LNCS, vol. 13436, pp. 790\u2013800. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16446-0_75"},{"issue":"2","key":"70_CR22","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MSP.2020.3016905","volume":"38","author":"V Monga","year":"2021","unstructured":"Monga, V., Li, Y., Eldar, Y.C.: Algorithm unrolling: interpretable, efficient deep learning for signal and image processing. IEEE Sig. Proc. Mag. 38(2), 18\u201344 (2021)","journal-title":"IEEE Sig. Proc. Mag."},{"key":"70_CR23","doi-asserted-by":"crossref","unstructured":"Phung, H., Dao, Q., Tran, A.: Wavelet diffusion models are fast and scalable image generators. In: CVPR, pp. 10199\u201310208 (2023)","DOI":"10.1109\/CVPR52729.2023.00983"},{"key":"70_CR24","doi-asserted-by":"crossref","unstructured":"Xu, M., et\u00a0al.: WaveNeRF: wavelet-based generalizable neural radiance fields. In: ICCV, pp. 18149\u201318158 (2023)","DOI":"10.1109\/ICCV51070.2023.01668"},{"key":"70_CR25","first-page":"113","volume":"25","author":"L Rui","year":"2017","unstructured":"Rui, L., et al.: Singular value decomposition-based 2D image reconstruction for computed tomography. J. Xray Sci. Technol. 25, 113\u2013134 (2017)","journal-title":"J. Xray Sci. Technol."},{"key":"70_CR26","unstructured":"Avinash, K., Malcolm, S.: Principles of Computerized Tomographic Imaging. Society for Industrial and Applied Mathematics (2001)"},{"key":"70_CR27","doi-asserted-by":"crossref","unstructured":"Tsutomu, G., Yukio, K.: Use of a total variation minimization iterative reconstruction algorithm to evaluate reduced projections during digital breast tomosynthesis. BioMed Res. Int. 1\u201314 (2018)","DOI":"10.1155\/2018\/5239082"},{"key":"70_CR28","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/978-1-4615-2958-3_21","volume-title":"Acoustical Imaging","author":"C Peng","year":"1993","unstructured":"Peng, C., Rodi, W.L., Toks\u00f6z, M.N.: A Tikhonov regularization method for image reconstruction. In: Wei, Y., Gu, B. (eds.) Acoustical Imaging, vol. 20, pp. 153\u2013164. Springer, Boston (1993). https:\/\/doi.org\/10.1007\/978-1-4615-2958-3_21"},{"key":"70_CR29","first-page":"132","volume":"7","author":"Z Yi","year":"2023","unstructured":"Yi, Z., et al.: LEARN++: recurrent dual-domain reconstruction network for compressed sensing CT. IEEE TRPMS 7, 132\u2013142 (2023)","journal-title":"IEEE TRPMS"},{"key":"70_CR30","doi-asserted-by":"crossref","unstructured":"Liu, Z., et\u00a0al.: Swin transformer: hierarchical vision transformer using shifted windows. In: ICCV, pp. 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"70_CR31","first-page":"3759","volume":"43","author":"C McCollough","year":"2016","unstructured":"McCollough, C.: TU-FG-207A-04: overview of the low dose CT grand challenge. Med. Phys. 43, 3759\u20133760 (2016)","journal-title":"Med. Phys."},{"key":"70_CR32","unstructured":"Loshchilov, I., Hutter, F.: Decoupled Weight Decay Regularization. arXiv preprint arXiv:1711.05101 (2017)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72104-5_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T09:13:07Z","timestamp":1733562787000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72104-5_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031721038","9783031721045"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72104-5_70","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Ishak Ayad has received research grants from DIM Math Innov and CYG, funded by the French ANR under the French government grant.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","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":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}