{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T12:46:36Z","timestamp":1759063596183,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031732928"},{"type":"electronic","value":"9783031732904"}],"license":[{"start":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:00:00Z","timestamp":1729641600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T00:00:00Z","timestamp":1729641600000},"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\/978-3-031-73290-4_20","type":"book-chapter","created":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T06:02:21Z","timestamp":1729576941000},"page":"201-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Arges: Spatio-Temporal Transformer for\u00a0Ulcerative Colitis Severity Assessment in\u00a0Endoscopy Videos"],"prefix":"10.1007","author":[{"given":"Krishna","family":"Chaitanya","sequence":"first","affiliation":[]},{"given":"Pablo F.","family":"Damasceno","sequence":"additional","affiliation":[]},{"given":"Shreyas","family":"Fadnavis","sequence":"additional","affiliation":[]},{"given":"Pooya","family":"Mobadersany","sequence":"additional","affiliation":[]},{"given":"Chaitanya","family":"Parmar","sequence":"additional","affiliation":[]},{"given":"Emily","family":"Scherer","sequence":"additional","affiliation":[]},{"given":"Natalia","family":"Zemlianskaia","sequence":"additional","affiliation":[]},{"given":"Lindsey","family":"Surace","sequence":"additional","affiliation":[]},{"given":"Louis R.","family":"Ghanem","sequence":"additional","affiliation":[]},{"given":"Oana Gabriela","family":"Cula","sequence":"additional","affiliation":[]},{"given":"Tommaso","family":"Mansi","sequence":"additional","affiliation":[]},{"given":"Kristopher","family":"Standish","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,23]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Allez, M., et\u00a0al.: A phase 2b, randomised, double-blind, placebo-controlled, parallel-arm, multicenter study evaluating the safety and efficacy of tesnatilimab in patients with moderately to severely active Crohn\u2019s disease. J. Crohn\u2019s Colitis, jjad047 (2023)","DOI":"10.1093\/ecco-jcc\/jjad047"},{"issue":"4","key":"20_CR2","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1093\/ecco-jcc\/jjac152","volume":"17","author":"MF Byrne","year":"2023","unstructured":"Byrne, M.F., et al.: Application of deep learning models to improve ulcerative colitis endoscopic disease activity scoring under multiple scoring systems. J. Crohns Colitis 17(4), 463\u2013471 (2023)","journal-title":"J. Crohns Colitis"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Caron, M., et al.: Emerging properties in self-supervised vision transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9650\u20139660 (2021)","DOI":"10.1109\/ICCV48922.2021.00951"},{"issue":"11","key":"20_CR4","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1016\/j.dld.2014.07.010","volume":"46","author":"M Daperno","year":"2014","unstructured":"Daperno, M., et al.: Inter-observer agreement in endoscopic scoring systems: preliminary report of an ongoing study from the Italian group for inflammatory bowel disease (IG-IBD). Dig. Liver Dis. 46(11), 969\u2013973 (2014)","journal-title":"Dig. Liver Dis."},{"key":"20_CR5","unstructured":"Dosovitskiy, A., et\u00a0al.: An image is worth 16\u00a0$$\\times $$\u00a016 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"20_CR6","doi-asserted-by":"publisher","unstructured":"Hirsch, R., et al.: Self-supervised learning for endoscopic video analysis. In: Greenspan, H., et al. (eds.) International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 569\u2013578. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43904-9_55","DOI":"10.1007\/978-3-031-43904-9_55"},{"issue":"04","key":"20_CR7","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1055\/a-1960-3645","volume":"55","author":"M Iacucci","year":"2023","unstructured":"Iacucci, M., et al.: A virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic activity\/remission and predict clinical outcomes in ulcerative colitis. Endoscopy 55(04), 332\u2013341 (2023)","journal-title":"Endoscopy"},{"key":"20_CR8","unstructured":"Ilse, M., Tomczak, J., Welling, M.: Attention-based deep multiple instance learning. In: International Conference on Machine Learning, pp. 2127\u20132136. PMLR (2018)"},{"key":"20_CR9","unstructured":"Oquab, M., et\u00a0al.: DINOv2: learning robust visual features without supervision. arXiv preprint arXiv:2304.07193 (2023)"},{"key":"20_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1007\/978-3-030-01225-0_35","volume-title":"Computer Vision \u2013 ECCV 2018","author":"S Paul","year":"2018","unstructured":"Paul, S., Roy, S., Roy-Chowdhury, A.K.: W-TALC: weakly-supervised temporal activity localization and classification. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11208, pp. 588\u2013607. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01225-0_35"},{"issue":"6","key":"20_CR11","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1053\/j.gastro.2023.08.038","volume":"165","author":"L Peyrin-Biroulet","year":"2023","unstructured":"Peyrin-Biroulet, L., et al.: Guselkumab in patients with moderately to severely active ulcerative colitis: QUASAR Phase 2b induction study. Gastroenterology 165(6), 1443\u20131457 (2023)","journal-title":"Gastroenterology"},{"key":"20_CR12","doi-asserted-by":"publisher","unstructured":"Polat, G., Ergenc, I., Kani, H.T., Alahdab, Y.O., Atug, O., Temizel, A.: Class distance weighted cross-entropy loss for ulcerative colitis severity estimation. In: Yang, G., Aviles-Rivero, A., Roberts, M., Schonlieb, C.B. (eds.) Annual Conference on Medical Image Understanding and Analysis, pp. 157\u2013171. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-12053-4_12","DOI":"10.1007\/978-3-031-12053-4_12"},{"issue":"4","key":"20_CR13","doi-asserted-by":"publisher","first-page":"213","DOI":"10.3390\/diagnostics10040213","volume":"10","author":"M Principi","year":"2020","unstructured":"Principi, M., et al.: Inter-observer agreement of a new endoscopic score for ulcerative colitis activity: preliminary experience. Diagnostics 10(4), 213 (2020)","journal-title":"Diagnostics"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Rubin, D.T., et al.: Development of a novel ulcerative colitis endoscopic Mayo score prediction model using machine learning. Gastro Hep Advances (2023)","DOI":"10.1016\/j.gastha.2023.06.003"},{"issue":"10342","key":"20_CR15","doi-asserted-by":"publisher","first-page":"2200","DOI":"10.1016\/S0140-6736(22)00688-2","volume":"399","author":"BE Sands","year":"2022","unstructured":"Sands, B.E., et al.: Ustekinumab versus adalimumab for induction and maintenance therapy in biologic-naive patients with moderately to severely active Crohn\u2019s disease: a multicentre, randomised, double-blind, parallel-group, phase 3b trial. Lancet 399(10342), 2200\u20132211 (2022)","journal-title":"Lancet"},{"issue":"10","key":"20_CR16","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1093\/ecco-jcc\/jjy085","volume":"12","author":"BE Sands","year":"2018","unstructured":"Sands, B.E., et al.: Peficitinib, an oral janus kinase inhibitor, in moderate-to-severe ulcerative colitis: results from a randomised, phase 2 study. J. Crohns Colitis 12(10), 1158\u20131169 (2018)","journal-title":"J. Crohns Colitis"},{"issue":"13","key":"20_CR17","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1056\/NEJMoa1900750","volume":"381","author":"BE Sands","year":"2019","unstructured":"Sands, B.E., et al.: Ustekinumab as induction and maintenance therapy for ulcerative colitis. N. Engl. J. Med. 381(13), 1201\u20131214 (2019)","journal-title":"N. Engl. J. Med."},{"issue":"26","key":"20_CR18","doi-asserted-by":"publisher","first-page":"1625","DOI":"10.1056\/NEJM198712243172603","volume":"317","author":"KW Schroeder","year":"1987","unstructured":"Schroeder, K.W., Tremaine, W.J., Ilstrup, D.M.: Coated oral 5-aminosalicylic acid therapy for mildly to moderately active ulcerative colitis. N. Engl. J. Med. 317(26), 1625\u20131629 (1987)","journal-title":"N. Engl. J. Med."},{"issue":"4","key":"20_CR19","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1080\/21681163.2021.1997644","volume":"10","author":"E Schwab","year":"2022","unstructured":"Schwab, E., et al.: Automatic estimation of ulcerative colitis severity from endoscopy videos using ordinal multi-instance learning. Comput. Methods Biomech. Biomed. Eng. Imaging Vis. 10(4), 425\u2013433 (2022)","journal-title":"Comput. Methods Biomech. Biomed. Eng. Imaging Vis."},{"issue":"1","key":"20_CR20","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1053\/j.gastro.2023.09.049","volume":"166","author":"RW Stidham","year":"2024","unstructured":"Stidham, R.W., et al.: Using computer vision to improve endoscopic disease quantification in therapeutic clinical trials of ulcerative colitis. Gastroenterology 166(1), 155\u2013167 (2024)","journal-title":"Gastroenterology"},{"issue":"5","key":"20_CR21","doi-asserted-by":"publisher","first-page":"e193963","DOI":"10.1001\/jamanetworkopen.2019.3963","volume":"2","author":"RW Stidham","year":"2019","unstructured":"Stidham, R.W., et al.: Performance of a deep learning model vs human reviewers in grading endoscopic disease severity of patients with ulcerative colitis. JAMA Netw. Open 2(5), e193963\u2013e193963 (2019)","journal-title":"JAMA Netw. Open"},{"key":"20_CR22","doi-asserted-by":"publisher","unstructured":"Tian, Y., et al.: Contrastive transformer-based multiple instance learning for weakly supervised polyp frame detection. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 88\u201398. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16437-8_9","DOI":"10.1007\/978-3-031-16437-8_9"},{"issue":"4","key":"20_CR23","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1136\/gutjnl-2011-300486","volume":"61","author":"SP Travis","year":"2012","unstructured":"Travis, S.P., et al.: Developing an instrument to assess the endoscopic severity of ulcerative colitis: the Ulcerative Colitis Endoscopic Index of Severity (UCEIS). Gut 61(4), 535\u2013542 (2012)","journal-title":"Gut"},{"key":"20_CR24","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/s12530-018-9236-x","volume":"11","author":"MD Vasilakakis","year":"2020","unstructured":"Vasilakakis, M.D., Diamantis, D., Spyrou, E., Koulaouzidis, A., Iakovidis, D.K.: Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames. Evol. Syst. 11, 409\u2013421 (2020)","journal-title":"Evol. Syst."},{"key":"20_CR25","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Wang, L., Xiong, Y., Lin, D., Van\u00a0Gool, L.: UntrimmedNets for weakly supervised action recognition and detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4325\u20134334 (2017)","DOI":"10.1109\/CVPR.2017.678"},{"key":"20_CR27","doi-asserted-by":"publisher","unstructured":"Wang, Z., Liu, C., Zhang, S., Dou, Q.: Foundation model for endoscopy video analysis via large-scale self-supervised pre-train. In: Greenspan, H., et al. (eds.) International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 101\u2013111. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43996-4_10","DOI":"10.1007\/978-3-031-43996-4_10"},{"key":"20_CR28","doi-asserted-by":"publisher","unstructured":"Xu, Z., Ali, S., Gupta, S., Leedham, S., East, J.E., Rittscher, J.: Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring. In: Lian, C., Cao, X., Rekik, I., Xu, X., Cui, Z. (eds.) International Workshop on Machine Learning in Medical Imaging, pp. 101\u2013110. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-21014-3_11","DOI":"10.1007\/978-3-031-21014-3_11"}],"container-title":["Lecture Notes in Computer Science","Machine Learning in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73290-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T06:06:05Z","timestamp":1729577165000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73290-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,23]]},"ISBN":["9783031732928","9783031732904"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73290-4_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,10,23]]},"assertion":[{"value":"23 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"All authors were employees of Janssen R&D, LLC, and may own company stock\/stock options.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MLMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Machine Learning in Medical Imaging","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":"7 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":"mlmi-med2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/mlmi2024","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}