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ORCID7th MLMI@MICCAI 2016: Athens, Greece
- Li Wang, Ehsan Adeli
, Qian Wang, Yinghuan Shi, Heung-Il Suk:
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 10019, 2016, ISBN 978-3-319-47156-3 - Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu:
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. 1-9 - Christoph Jud, Nadia Möri, Benedikt Bitterli, Philippe C. Cattin:
Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration. 10-17 - Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. 18-26 - Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Miguel Ángel González Ballester:
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates. 27-35 - Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. 36-44 - Jessie Thomson, Terence O'Neill, David Felson, Timothy F. Cootes:
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis. 45-52 - Simon Koppers, Dorit Merhof:
Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging. 53-60 - Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. 61-68 - Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen:
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. 69-76 - Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen:
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. 77-85 - Yan Wang, Xi Wu, Guangkai Ma, Zongqing Ma, Ying Fu, Jiliu Zhou:
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method. 86-94 - Xiao Zheng, Jun Shi, Shihui Ying, Qi Zhang, Yan Li:
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework. 95-103 - Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert:
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. 104-112 - Heung-Il Suk, Dinggang Shen:
Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis. 113-121 - Jinjie Wu, Jun Shi, Shihui Ying, Qi Zhang, Yan Li:
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network. 122-129 - Yuan Liu, Hasan Ertan Çetingül, Benjamin Odry, Mariappan S. Nadar:
Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data. 130-138 - Alison O'Neil, Mohammad A. Dabbah, Ian Poole:
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext. 139-146 - Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura:
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. 147-155 - Mohammad Arafat Hussain, Ghassan Hamarneh, Timothy W. O'Connell, Mohammed F. Mohammed, Rafeef Abugharbieh:
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests. 156-163 - Jeremy Kawahara, Ghassan Hamarneh:
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers. 164-171 - Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
Retinal Image Quality Classification Using Saliency Maps and CNNs. 172-179 - Polina Binder, Nematollah Kayhan Batmanghelich, Raúl San José Estépar, Polina Golland:
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort. 180-187 - Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor:
Tree-Based Transforms for Privileged Learning. 188-195 - Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris T. Papageorghiou, J. Alison Noble:
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment. 196-204 - Loïc Tetrel, Hacène Chebrek, Catherine Laporte:
Learning for Graph-Based Sensorless Freehand 3D Ultrasound. 205-212 - Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen:
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. 213-220 - Lei Wang, Danping Li, Tiancheng He, Stephen T. C. Wong, Zhong Xue:
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. 221-228 - Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen:
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. 229-236 - Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. 237-245 - Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen:
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. 246-253 - Behzad Bozorgtabar, Mani Abedini, Rahil Garnavi:
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement. 254-261 - Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu:
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks. 262-270 - Payam Ahmadvand, Nóirín Duggan, François Bénard, Ghassan Hamarneh:
Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface. 271-278 - Zobair Arya, Ludovica Griffanti, Clare E. Mackay, Mark Jenkinson:
Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI. 279-286 - Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng:
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. 287-295 - Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita:
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. 296-304 - Mohammad Razavi, Lei Wang, Tao Tan, Nico Karssemeijer, Lars Linsen, Udo Frese, Horst K. Hahn, Gabriel Zachmann:
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI. 305-312 - Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen:
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. 313-321
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