{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:43:41Z","timestamp":1761864221173,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,9]]},"DOI":"10.1109\/ipta50016.2020.9286633","type":"proceedings-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T16:57:10Z","timestamp":1607965030000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Rosana","family":"El Jurdi","sequence":"first","affiliation":[]},{"given":"Thomas","family":"Dargent","sequence":"additional","affiliation":[]},{"given":"Caroline","family":"Petitjean","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Honeine","sequence":"additional","affiliation":[]},{"given":"Fahed","family":"Abdallah","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Topology-Preserving Deep Image Segmentation","author":"hu","year":"2019","journal-title":"NIPS 2019"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-20351-1_2","article-title":"Explicit topological priors for deep-learning based image segmentation using persistent homology","author":"clough","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01190"},{"key":"ref13","article-title":"Distance map loss penalty term for semantic segmentation","author":"caliva","year":"2019","journal-title":"International Conference on Medical Imaging with Deep Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2743464"},{"key":"ref15","article-title":"A deep model with shape-preserving loss for gland instance segmentation","author":"yan","year":"2018","journal-title":"MICCAI"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2743464"},{"key":"ref17","article-title":"Joint segmentation of multiple thoracic organs in CT images with two collaborative deep architectures","author":"trullo","year":"2017","journal-title":"1st MICCAI Workshop on Deep Learning in Medical Image Analysis"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1007\/978-3-030-00934-2_26","article-title":"Besnet: Boundary-enhanced segmentation of cells in histopathological images","author":"oda","year":"2018","journal-title":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2018"},{"key":"ref19","first-page":"73","article-title":"Gridnet with automatic shape prior registration for automatic MRI cardiac segmentation","volume":"10663","author":"zotti","year":"2017","journal-title":"Statistical Atlases and Computational Models of the Heart STACOM Held in Conjunction with MICCAI"},{"key":"ref4","article-title":"Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study","author":"el jurdi","year":"2019","journal-title":"Proc 27th GRETSI Symp Signal Image Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.009"},{"key":"ref6","first-page":"1334","article-title":"End-to-end Training of Deep Visuomotor Policies","volume":"17","author":"levine","year":"2016","journal-title":"J Mach Learn Res"},{"article-title":"An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution","year":"2018","author":"liu","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s19122792"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00053"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2015.0408"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101551"},{"article-title":"Deep Semantic Segmentation of Natural and Medical Images: A Review","year":"2019","author":"taghanaki","key":"ref1"},{"key":"ref20","first-page":"1","article-title":"Bb-unet: U-net with bounding box prior","author":"el jurdi","year":"2020","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"ref22","article-title":"Fusionnet: A deep fully residual convolutional neural network for image segmentation in connectomics","volume":"abs 1612 5360","author":"quan","year":"2016","journal-title":"CoRR"},{"key":"ref21","article-title":"Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities","volume":"7","author":"ghafoorian","year":"2016","journal-title":"Scientific Reports"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref23","article-title":"Segthor: Segmentation of thoracic organs at risk in CT images","volume":"abs 1912 5950","author":"lambert","year":"2019","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.009"}],"event":{"name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","start":{"date-parts":[[2020,11,9]]},"location":"Paris, France","end":{"date-parts":[[2020,11,12]]}},"container-title":["2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9286598\/9286601\/09286633.pdf?arnumber=9286633","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:50:38Z","timestamp":1656438638000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9286633\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ipta50016.2020.9286633","relation":{},"subject":[],"published":{"date-parts":[[2020,11,9]]}}}