{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:33:42Z","timestamp":1783528422850,"version":"3.55.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/isbi.2018.8363574","type":"proceedings-article","created":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T19:35:23Z","timestamp":1527881723000},"page":"281-284","source":"Crossref","is-referenced-by-count":167,"title":["RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans"],"prefix":"10.1109","author":[{"given":"Monika","family":"Grewal","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muktabh Mayank","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pulkit","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srikrishna","family":"Varadarajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering","author":"chen","year":"2015","journal-title":"CoRR"},{"key":"ref11","article-title":"Multiple Object Recognition with Visual Attention","volume":"abs 1412 7755","author":"ba","year":"2014","journal-title":"CoRR"},{"key":"ref12","article-title":"Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer","author":"zagoruyko","year":"2016","journal-title":"CoRR"},{"key":"ref13","author":"chen","year":"2015","journal-title":"Attention to scale Scale-aware semantic image segmentation"},{"key":"ref14","article-title":"Show and Tell: A Neural Image Caption Generator","volume":"abs 1411 4555","author":"vinyals","year":"2014","journal-title":"CoRR"},{"key":"ref15","article-title":"Skeleton-based Action Recognition with Convolutional Neural Networks","volume":"abs 1704 7595","author":"li","year":"2017","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref17","first-page":"3036","article-title":"Combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation","author":"chen","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function","volume":"abs 1707 4912","author":"cai","year":"2017","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2526689"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.10.007"},{"key":"ref6","article-title":"VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images","author":"chen","year":"2017","journal-title":"NeuroImage"},{"key":"ref5","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","volume":"abs 1505 4597","author":"ronneberger","year":"2015","journal-title":"CoRR"},{"key":"ref8","article-title":"Superhuman Accuracy on the SNEMI3D Connectomics Challenge","volume":"abs 1706 120","author":"lee","year":"2017","journal-title":"CoRR"},{"key":"ref7","author":"pranav","year":"2017","journal-title":"Cardiologist-level arrhythmia detection with convolutional neural networks"},{"key":"ref2","article-title":"Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs","author":"varun","year":"2016","journal-title":"JAMA"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref9","article-title":"FastVentricle: Cardiac Segmentation with ENet","volume":"abs 1704 4296","year":"2017","journal-title":"CoRR"}],"event":{"name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","location":"Washington, DC","start":{"date-parts":[[2018,4,4]]},"end":{"date-parts":[[2018,4,7]]}},"container-title":["2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8359997\/8363198\/08363574.pdf?arnumber=8363574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T20:48:48Z","timestamp":1529614128000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8363574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi.2018.8363574","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}