{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T18:17:37Z","timestamp":1759515457246,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/ijcnn.2016.7727204","type":"proceedings-article","created":{"date-parts":[[2016,11,8]],"date-time":"2016-11-08T16:15:56Z","timestamp":1478621756000},"page":"235-242","source":"Crossref","is-referenced-by-count":14,"title":["Exploring deep features from brain tumor magnetic resonance images via transfer learning"],"prefix":"10.1109","author":[{"family":"Renhao Liu","sequence":"first","affiliation":[]},{"given":"Lawrence O.","family":"Hall","sequence":"additional","affiliation":[]},{"given":"Dmitry B.","family":"Goldgof","sequence":"additional","affiliation":[]},{"family":"Mu Zhou","sequence":"additional","affiliation":[]},{"given":"Robert A.","family":"Gatenby","sequence":"additional","affiliation":[]},{"given":"Kaoutar B.","family":"Ahmed","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"640","article-title":"Is learning the n-th thing any easier than learning the first?","author":"sebastian","year":"1996","journal-title":"Advances in neural information processing systems"},{"key":"ref11","first-page":"776","article-title":"Efficient object category recognition using classemes","author":"lorenzo","year":"2010","journal-title":"Computer Vision-ECCV Springer Berlin Heidelberg 2010"},{"key":"ref12","article-title":"Object bank: A high-level image representation for scene classification & semantic feature sparsification","author":"li-jia","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"Self-taught learning: transfer learning from unlabeled data","author":"raj","year":"2007","journal-title":"Proceedings of the 24th International Conference on Machine Learning"},{"key":"ref14","first-page":"97","article-title":"Unsupervised and Transfer Learning Challenge: a Deep Learning Approach","volume":"27","author":"gregoire","year":"2012","journal-title":"ICML Unsupervised and Transfer Learning"},{"key":"ref15","article-title":"Return of the devil in the details: Delving deep into convolutional nets","volume":"3531","author":"ken","year":"2014","journal-title":"arXiv preprint arXiv 1405"},{"key":"ref16","article-title":"MatConvNet-convolutional neural networks for MATLAB","volume":"4564","author":"andrea","year":"2014","journal-title":"arXiv preprint arXiv 1412 079"},{"article-title":"Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI","year":"0","author":"hall","key":"ref17"},{"key":"ref18","first-page":"43","article-title":"Automatic segmentation of non-enhancing brain tumors in magnetic resonance images","volume":"1","year":"2001","journal-title":"Artificial Intelligence in Medicine"},{"key":"ref19","article-title":"Robustness of local binary patterns in brain MR image analysis","author":"devrim","year":"2007","journal-title":"Engineering in Medicine and Biology Society 2007 EMBS 2007 29th Annual International Conference of the IEEE"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref4","first-page":"541","article-title":"Backpropagation applied to handwritten zip code recognition","volume":"4","author":"yann","year":"1989","journal-title":"Neural Computation 1"},{"key":"ref27","first-page":"1234","article-title":"Radiomics: the process and the challenges","volume":"9","author":"virendra","year":"2012","journal-title":"Magnetic Resonance Imaging"},{"key":"ref3","first-page":"193","article-title":"Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position","volume":"4","author":"kunihiko","year":"1980","journal-title":"Biological Cybernetics 36"},{"key":"ref6","article-title":"Imagenet: A large-scale hierarchical image database","author":"jia","year":"2009","journal-title":"Computer Vision and Pattern Recognition 2009 CVPR 2009 IEEE Conference"},{"key":"ref29","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","volume":"3","author":"lei","year":"2003","journal-title":"ICML"},{"key":"ref5","article-title":"Imagenet classification with deep convolutional neural networks","author":"alex","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref8","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","volume":"1531","author":"jeff","year":"2013","journal-title":"arXiv pre print arXiv 1310"},{"key":"ref7","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"ross","year":"2014","journal-title":"Computer Vision and Pattern Recognition (CVPR) 2014 IEEE Conference"},{"key":"ref2","article-title":"Histograms of oriented gradients for human detection","volume":"1","author":"navneet","year":"2005","journal-title":"Computer Vision and Pattern Recognition 2005 CVPR 2005"},{"key":"ref9","first-page":"41","article-title":"Multitask learning","volume":"1","author":"rich","year":"1997","journal-title":"Machine learning 28"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref20","article-title":"Large-scale video classification with convolutional neural networks","author":"andrej","year":"2014","journal-title":"Computer Vision and Pattern Recognition (CVPR) 2014 IEEE Conference"},{"key":"ref22","first-page":"82","article-title":"Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups","volume":"6","author":"geoffrey","year":"2012","journal-title":"IEEE Signal Processing Magazine"},{"key":"ref21","article-title":"Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription","author":"haitao","year":"2013","journal-title":"2013 IEEE Workshop on Automatic Speech Recognition and Understanding"},{"key":"ref24","first-page":"10","article-title":"The WEKA data mining software: an update","volume":"1","author":"mark","year":"2009","journal-title":"ACM SIGKDD Exploration Newsletter"},{"key":"ref23","article-title":"Descriptor matching with convolutional neural networks: a comparison to sift","volume":"5769","author":"philipp","year":"2014","journal-title":"arXiv preprint arXiv 1405"},{"key":"ref26","article-title":"Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach","volume":"5","author":"hugo jwl","year":"2014","journal-title":"Nature Communications"},{"key":"ref25","first-page":"441","article-title":"Radiomics: extracting more information from medical images using advanced feature analysis","volume":"4","author":"philippe","year":"2012","journal-title":"European Journal of Cancer 48"}],"event":{"name":"2016 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2016,7,24]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2016,7,29]]}},"container-title":["2016 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7593175\/7726591\/07727204.pdf?arnumber=7727204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,11,30]],"date-time":"2016-11-30T07:06:31Z","timestamp":1480489591000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7727204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2016.7727204","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}