{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T19:13:09Z","timestamp":1758395589447,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031723834"},{"type":"electronic","value":"9783031723841"}],"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\/978-3-031-72384-1_22","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:02:53Z","timestamp":1727866973000},"page":"228-238","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Let Me DeCode You: Decoder Conditioning with\u00a0Tabular Data"],"prefix":"10.1007","author":[{"given":"Tomasz","family":"Szczepa\u0144ski","sequence":"first","affiliation":[]},{"given":"Michal K.","family":"Grzeszczyk","sequence":"additional","affiliation":[]},{"given":"Szymon","family":"P\u0142otka","sequence":"additional","affiliation":[]},{"given":"Arleta","family":"Adamowicz","sequence":"additional","affiliation":[]},{"given":"Piotr","family":"Fudalej","sequence":"additional","affiliation":[]},{"given":"Przemys\u0142aw","family":"Korzeniowski","sequence":"additional","affiliation":[]},{"given":"Tomasz","family":"Trzci\u0144ski","sequence":"additional","affiliation":[]},{"given":"Arkadiusz","family":"Sitek","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"issue":"1","key":"22_CR1","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1038\/s41467-022-29637-2","volume":"13","author":"Z Cui","year":"2022","unstructured":"Cui, Z., Fang, Y., Mei, L., Zhang, B., Yu, B., Liu, J., Jiang, C., Sun, Y., Ma, L., Huang, J., et\u00a0al.: A fully automatic ai system for tooth and alveolar bone segmentation from cone-beam ct images. Nature Communications 13(1), \u00a02096 (2022)","journal-title":"Nature Communications"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Cui, Z., Zhang, B., Lian, C., Li, C., Yang, L., Wang, W., Zhu, M., Shen, D.: Hierarchical morphology-guided tooth instance segmentation from cbct images. In: Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28\u2013June 30, 2021, Proceedings 27. pp. 150\u2013162. Springer (2021)","DOI":"10.1007\/978-3-030-78191-0_12"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Grzeszczyk, M.K., P\u0142otka, S., Rebizant, B., Kosi\u0144ska-Kaczy\u0144ska, K., Lipa, M., Brawura-Biskupski-Samaha, R., Korzeniowski, P., Trzci\u0144ski, T., Sitek, A.: Tabattention: Learning attention conditionally on tabular data. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 347\u2013357. Springer (2023)","DOI":"10.1007\/978-3-031-43990-2_33"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"22_CR5","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1038\/s41746-020-00341-z","volume":"3","author":"SC Huang","year":"2020","unstructured":"Huang, S.C., Pareek, A., Seyyedi, S., Banerjee, I., Lungren, M.P.: Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. NPJ Digital Medicine 3(1), \u00a0136 (2020)","journal-title":"NPJ Digital Medicine"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Jacenk\u00f3w, G., O\u2019Neil, A.Q., Mohr, B., Tsaftaris, S.A.: Inside: steering spatial attention with non-imaging information in cnns. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part IV 23. pp. 385\u2013395. Springer (2020)","DOI":"10.1007\/978-3-030-59719-1_38"},{"issue":"11","key":"22_CR7","doi-asserted-by":"publisher","first-page":"3116","DOI":"10.1109\/TMI.2022.3179128","volume":"41","author":"P Li","year":"2022","unstructured":"Li, P., Liu, Y., Cui, Z., Yang, F., Zhao, Y., Lian, C., Gao, C.: Semantic graph attention with explicit anatomical association modeling for tooth segmentation from cbct images. IEEE Transactions on Medical Imaging 41(11), 3116\u20133127 (2022)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.media.2017.07.005","volume":"42","author":"G Litjens","year":"2017","unstructured":"Litjens, G., Kooi, T., Bejnordi, B.E., Setio, A.A.A., Ciompi, F., Ghafoorian, M., Van Der\u00a0Laak, J.A., Van\u00a0Ginneken, B., S\u00e1nchez, C.I.: A survey on deep learning in medical image analysis. Medical Image Analysis 42, 60\u201388 (2017)","journal-title":"Medical Image Analysis"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Milletari, F., Navab, N., Ahmadi, S.A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 2016 fourth international conference on 3D vision (3DV). pp. 565\u2013571. Ieee (2016)","DOI":"10.1109\/3DV.2016.79"},{"issue":"7","key":"22_CR10","first-page":"3523","volume":"44","author":"S Minaee","year":"2021","unstructured":"Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., Terzopoulos, D.: Image segmentation using deep learning: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(7), 3523\u20133542 (2021)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"22_CR11","unstructured":"Oktay, O., Schlemper, J., Folgoc, L.L., Lee, M., Heinrich, M., Misawa, K., Mori, K., McDonagh, S., Hammerla, N.Y., Kainz, B., et\u00a0al.: Attention u-net: Learning where to look for the pancreas. arXiv preprint arXiv:1804.03999 (2018)"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Perez, E., Strub, F., De\u00a0Vries, H., Dumoulin, V., Courville, A.: Film: Visual reasoning with a general conditioning layer. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.11671"},{"key":"22_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107602","volume":"167","author":"S P\u0142otka","year":"2023","unstructured":"P\u0142otka, S., Grzeszczyk, M.K., Brawura-Biskupski-Samaha, R., Gutaj, P., Lipa, M., Trzci\u0144ski, T., I\u0161gum, I., S\u00e1nchez, C.I., Sitek, A.: Babynet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Computers in Biology and Medicine 167, 107602 (2023)","journal-title":"Computers in Biology and Medicine"},{"issue":"7","key":"22_CR14","doi-asserted-by":"publisher","first-page":"3363","DOI":"10.1007\/s00784-023-05048-5","volume":"27","author":"A Polizzi","year":"2023","unstructured":"Polizzi, A., Quinzi, V., Ronsivalle, V., Venezia, P., Santonocito, S., Lo\u00a0Giudice, A., Leonardi, R., Isola, G.: Tooth automatic segmentation from cbct images: a systematic review. Clinical Oral Investigations 27(7), 3363\u20133378 (2023)","journal-title":"Clinical Oral Investigations"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. pp. 234\u2013241. Springer (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Rupprecht, C., Laina, I., Navab, N., Hager, G.D., Tombari, F.: Guide me: Interacting with deep networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 8551\u20138561 (2018)","DOI":"10.1109\/CVPR.2018.00892"},{"key":"22_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101693","volume":"63","author":"N Tajbakhsh","year":"2020","unstructured":"Tajbakhsh, N., Jeyaseelan, L., Li, Q., Chiang, J.N., Wu, Z., Ding, X.: Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. Medical Image Analysis 63, 101693 (2020)","journal-title":"Medical Image Analysis"},{"issue":"4","key":"22_CR18","doi-asserted-by":"publisher","first-page":"5314","DOI":"10.1109\/TPAMI.2022.3206148","volume":"45","author":"H Touvron","year":"2022","unstructured":"Touvron, H., Bojanowski, P., Caron, M., Cord, M., El-Nouby, A., Grave, E., Izacard, G., Joulin, A., Synnaeve, G., Verbeek, J., et\u00a0al.: Resmlp: Feedforward networks for image classification with data-efficient training. IEEE Transactions on Pattern Analysis and Machine Intelligence 45(4), 5314\u20135321 (2022)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Valanarasu, J.M.J., Patel, V.M.: Unext: Mlp-based rapid medical image segmentation network. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 23\u201333. Springer (2022)","DOI":"10.1007\/978-3-031-16443-9_3"},{"issue":"21","key":"22_CR20","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"JJ Van Griethuysen","year":"2017","unstructured":"Van\u00a0Griethuysen, J.J., Fedorov, A., Parmar, C., Hosny, A., Aucoin, N., Narayan, V., Beets-Tan, R.G., Fillion-Robin, J.C., Pieper, S., Aerts, H.J.: Computational radiomics system to decode the radiographic phenotype. Cancer Research 77(21), e104\u2013e107 (2017)","journal-title":"Cancer Research"},{"key":"22_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102750","volume":"85","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Xia, W., Yan, Z., Zhao, L., Bian, X., Liu, C., Qi, Z., Zhang, S., Tang, Z.: Root canal treatment planning by automatic tooth and root canal segmentation in dental cbct with deep multi-task feature learning. Medical Image Analysis 85, 102750 (2023)","journal-title":"Medical Image Analysis"},{"key":"22_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119505","volume":"260","author":"TN Wolf","year":"2022","unstructured":"Wolf, T.N., P\u00f6lsterl, S., Wachinger, C., Initiative, A.D.N., et\u00a0al.: Daft: a universal module to interweave tabular data and 3d images in cnns. NeuroImage 260, 119505 (2022)","journal-title":"NeuroImage"},{"key":"22_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102498","volume":"80","author":"Y Xia","year":"2022","unstructured":"Xia, Y., Chen, X., Ravikumar, N., Kelly, C., Attar, R., Aung, N., Neubauer, S., Petersen, S.E., Frangi, A.F.: Automatic 3d+ t four-chamber cmr quantification of the uk biobank: integrating imaging and non-imaging data priors at scale. Medical Image Analysis 80, 102498 (2022)","journal-title":"Medical Image Analysis"},{"key":"22_CR24","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1994","volume":"10","author":"Q Zheng","year":"2024","unstructured":"Zheng, Q., Gao, Y., Zhou, M., Li, H., Lin, J., Zhang, W., Chen, X.: Semi or fully automatic tooth segmentation in cbct images: a review. PeerJ Computer Science 10, e1994 (2024)","journal-title":"PeerJ Computer Science"}],"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\/978-3-031-72384-1_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:15:57Z","timestamp":1727867757000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72384-1_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723834","9783031723841"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72384-1_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"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":"The authors have no competing interests to declare.","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"}}]}}