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E-raamat: Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

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This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.





The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.





The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
1(9)
Chen Zu
Yue Gao
Brent Munsell
Minjeong Kim
Ziwen Peng
Yingying Zhu
Wei Gao
Daoqiang Zhang
Dinggang Shen
Guorong Wu
Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration
10(8)
Christoph Jud
Nadia Mori
Benedikt Bitterli
Philippe C. Cattin
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection
18(9)
Michael Gadermayr
Barbara Mara Klinkhammer
Peter Boor
Dorit Merhof
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
27(9)
Gerard Sanroma
Oualid M. Benkarim
Gemma Piella
Miguel Angel Gonzalez Ballester
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life
36(9)
Lifang Wei
Shunbo Hu
Yaozong Gao
Xiaohuan Cao
Guorong Wu
Dinggang Shen
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis
45(8)
Jessie Thomson
Terence O'Neill
David Felson
Tim Cootes
Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging
53(8)
Simon Koppers
Dorit Merhof
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
61(8)
Jun Zhang
Yaozong Gao
Sang Hyun Park
Xiaopeng Zong
Weili Lin
Dinggang Shen
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images
69(8)
Minjeong Kim
Guorong Wu
Isrem Rekik
Dinggang Shen
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis
77(9)
Xiaofeng Zhu
Heung-Il Suk
Kim-Han Thung
Yingying Zhu
Guorong Wu
Dinggang Shen
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method
86(9)
Yan Wang
Xi Wu
Guangkai Ma
Zongqing Ma
Ying Fu
Jiliu Zhou
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework
95(9)
Xiao Zheng
Jun Shi
Shihui Ying
Qi Zhang
Yan Li
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation
104(9)
Chen Qin
Ricardo Guerrero Moreno
Christopher Bowles
Christian Ledig
Philip Scheltens
Frederik Barkhof
Hanneke Rhodius-Meester
Betty Tijms
Afina W. Lemstra
Wiesje M. van der Flier
Ben Glocker
Daniel Rueckert
Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis
113(9)
Heung-Il Suk
Dinggang Shen
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network
122(8)
Jinjie Wu
Jun Shi
Shihui Ying
Qi Zhang
Yan Li
Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
130(9)
Yuan Liu
Hasan E. Cetingul
Benjamin L. Odry
Mariappan S. Nadar
Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext
139(8)
Alison O'Neil
Mohammad Dabbah
Ian Poole
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
147(9)
Mingchen Gao
Ziyue Xu
Le Lu
Adam P. Harrison
Ronald M. Summers
Daniel J. Mollura
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests
156(8)
Mohammad Arafat Hussain
Ghassan Hamarneh
Timothy W. O'Connell
Mohammed F. Mohammed
Rafeef Abugharbieh
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
164(8)
Jeremy Kawahara
Ghassan Hamarneh
Retinal Image Quality Classification Using Saliency Maps and CNNs
172(8)
Dwarikanath Mahapatra
Pallab K. Roy
Suman Sedai
Rahil Garnavi
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
180(8)
Polina Binder
Nematollah K. Batmanghelich
Raul San Jose Estepar
Polina Golland
Tree-Based Transforms for Privileged Learning
188(8)
Mehdi Moradi
Tanveer Syeda-Mahmood
Soheil Hor
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
196(9)
Hosuk Ryou
Mohammad Yaqub
Angelo Cavallaro
Fenella Roseman
Aris Papageorghiou
J. Alison Noble
Learning for Graph-Based Sensorless Freehand 3D Ultrasound
205(8)
Loic Tetrel
Hacene Chebrek
Catherine Laporte
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
213(8)
Renping Yu
Minghui Deng
Pew-Thian Yap
Zhihui Wei
Li Wang
Dinggang Shen
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI
221(8)
Lei Wang
Danping Li
Tiancheng He
Stephen T.C. Wong
Zhong Xue
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images
229(8)
Zhengwang Wu
Yaozong Gao
Feng Shi
Valerie Jewells
Dinggang Shen
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs
237(9)
Zhengwang Wu
Sang Hyun Park
Yanrong Guo
Yaozong Gao
Dinggang Shen
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis
246(8)
Xi Yang
Yan Jin
Xiaobo Chen
Han Zhang
Gang Li
Dinggang Shen
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement
254(8)
Behzad Bozorgtabar
Mani Abedini
Rahil Garnavi
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks
262(9)
Liansheng Wang
Shusheng Li
Yiping Chen
Jiankun Lin
Changhua Liu
Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface
271(8)
Payam Ahmadvand
Noirin Duggan
Francois Benard
Ghassan Hamarneh
Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI
279(8)
Zobair Arya
Ludovica Griffanti
Clare E. Mackay
Mark Jenkinson
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
287(9)
Gerda Bortsova
Michael Sterr
Lichao Wang
Fausto Milletari
Nassir Navab
Anika Bottcher
Heiko Lickert
Fabian Theis
Tingying Peng
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI
296(9)
Alexia Tzalavra
Kalliopi Dalakleidi
Evangelia I. Zacharaki
Nikolaos Tsiaparas
Fotios Constantinidis
Nikos Paragios
Konstantina S. Nikita
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI
305(8)
Mohammad Razavi
Lei Wang
Tao Tan
Nico Karssemeijer
Lars Linsen
Udo Frese
Horst K. Hahn
Gabriel Zachmann
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis
313(10)
Xiaofeng Zhu
Kim-Han Thung
Jun Zhang
Dinggang Shen
Author Index 323