8:30 – 9:00 Registration, speaker check-in and poster setup
9:00 – 9:15 Opening Remarks
9:15 – 10:30 Morning Session 1: Plenary Talk
10:30-11:00 Coffee break
11:00-13:00 Morning Session 2
Session Chair: Prof. Mert R Sabuncu
- [MLMI-O-1]
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
Polina Biner, MIT; Nematollah Batmanghelich, MIT; Raul San José Estepar, MIT; Polina Golland, MIT - [MLMI-O-2]
Multi-Resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
Jeremy Kawahara, Simon Fraser University; Ghassan Hamarneh, Simon Fraser University; Aïcha BenTaieb - [MLMI-O-3]
Retinal Image Quality Classification Using Saliency Maps And CNNs
Dwarikanath Mahapatra, IBM Research Australia - [MLMI-O-4]
Do we Need Large Annotated Training Data for Detection Applications in Biomedical Image Data? A Case Study in Renal Glomeruli Detection
Michael Gadermayr, RWTH Aachen; Barbara Klinkhammer, Klinikum Aachen; Peter Boor, Klinikum Aachen; Dorit Merhof, RWTH Aachen - [MLMI-O-5]
Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI
Zobair Arya, University of Oxford; Ludovica Griffanti, University of Oxford; Clare Mackay, University of Oxford; Mark Jenkinson, University of Oxford - [MLMI-O-6]
Learning Global and Cluster-specific Classifiers for Robust Brain Extraction in MR Data
Yuan Liu, Vanderbilt University; Hasan Cetingul, Siemens Medical Solutions; Benjamin Odry, Siemens Medical Solutions; Mariappan Nadar, Siemens Medical Solutions
13:00 – 14:00 Lunch & Posters (can be posted until the late afternoon)
- [MLMI-P-1]
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
Chen Zu, UNC; Gao Yue, ; Brent Munsell, ; Minjeong Kim, ; Ziwen Peng, ; Yingying Zhu, ; Wei Gao, ; Daoqiang Zhang, ; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Guorong Wu, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-2]
Fast Neuroiamging-based Retrieval for Alzheimer’s Disease Analysis
Xiaofeng Zhu, Kim-Han Thung, Dinggang Shen - [MLMI-P-3]
Detecting osteophytes in radiographs of the knee to diagnose Osteoarthritis
Jessie Thomson, University of Manchester; Tim Cootes, University of Manchester; David Felson, Boston University; Terence O’Neill, University of Manchester - [MLMI-P-4]
Dual-layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images
Minjeong Kim, UNC Chapel Hill; Guorong Wu, Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Islem Rekik, ; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-5]
Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis
Xiaofeng Zhu, UNC at Chapel Hill; Heungil Suk, ; Kim Han Thung, UNC-CH; Yingying Zhu, ; Guorong Wu, UNC Chapel Hill; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-6]
Patch-based hippocampus segmentation using a local subspace learning method
YAN WANG, SICHUAN UNIVERSITY; Guangkai Ma, ; Jiliu Zhou, ; Xi Wu, ; Zongqing Ma, ; YING FU, - [MLMI-P-7]
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework
Xiao Zheng, Shanghai University; Jun Shi, Shanghai University; Shihui Ying, Shanghai University; Qi Zhang, Shanghai University; Yan Li, Shenzhen University - [MLMI-P-8]
Deep Ensemble Sparse Regression Network for Alzheimer’s Disease Diagnosis
Heung-Il Suk, Korea University; Dinggang Shen, - [MLMI-P-9]
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network
Jinjie Wu, Shanghai University; Jun Shi, Shanghai University; Shihui Ying, Shanghai University; Qi Zhang, Shanghai University; Yan Li, Shenzhen University - [MLMI-P-10]
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
Jun Zhang, UNC BRIC; Yaozong Gao, UNC Chapel Hill; Sanghyun Park, UNC; Xiaopeng Zong, UNC; Weili Lin, UNC BRIC; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-11]
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Detection
Mingchen Gao, NIH; Ziyue Xu, ; Le Lu, NIH; Adam Harrison, ; Ronald Summers, ; Daniel Mollura, - [MLMI-P-12]
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life
Lifang Wei, Fujian Agriculture and Forestr; Shunbo Hu, School of Information, Linyi University; Yaozong Gao, UNC Chapel Hill; Xiaohuan Cao, ; Guorong Wu, Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-13]
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm based on Deep Residual Networks
Liansheng Wang, Xiamen University - [MLMI-P-14]
Learning for Graph-Based Sensorless Freehand 3D Ultrasound
Loïc Tetrel, ÉTS; Hacène Chebrek, ÉTS; Catherine Laporte, École de technologie supérieur - [MLMI-P-15]
Learning-based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
Renping Yu, NUST; Minghui Deng, ; Pew-Thian Yap, UNC; Zhihui Wei, NUST; Li Wang, UNC-Chapel Hill; Dinggang Shen, - [MLMI-P-16]
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images
Zhengwang Wu, UNC-Chapel Hill; Yaozong Gao, ; Feng Shi, UNC Chapel Hill; Valerie Jewells, ; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-17]
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis
Xi Yang, UNC-Chapel Hill; Yan Jin, ; Xiaobo Chen, ; Han Zhang, ; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill - [MLMI-P-18]
Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-based Refinement
Behzad Bozorgtabar (IBM Research Australia); Mani Abedini; Rahil Garnavi (IBM Research Australia) - [MLMI-P-19]
Tumour Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface
Payam Ahmadvand, Simon Fraser University ; Nóirín Duggan, ; francois Benard, ; Ghassan Hamarneh, Simon Fraser University - [MLMI-P-20]
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
Gerda Bortsova, TUM; michael Sterr, Helmholtz Zentrum München; Lichao Wang, TUM; Fausto Milletari, TUM; Nassir Navab, ; Anika Böttcher, ; Heiko Lickert, Helmholtz Zentrum München; Fabian Theis, Helmholtz Zentrum München; Tingying Peng, TUM - [MLMI-P-21]
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based On DCE-MRI
Alexia Tzalavra, NTUA; Evangelia Zacharaki, ; Nikolaos Tsiaparas, ; Kalliopi Dalakleidi, ; Fotios Constantinidis, ; Nikos Paragios,; Konstantina Nikita, - [MLMI-P-22]
Novel Morphological Features for Non-mass-like Breast Lesion Classiffcation on DCE-MRI
Mohammad Razavi, Fraunhofer MEVIS; Lei Wang, Surpath Medical GmbH; Tao Tan, Radboud University Nijmegen Medical Centre; Nico Karssemeijer, Radboud University Nijmegen Medical Centre; Lars Linsen, Jacobs University, Bremen; Udo Frese, University of Bremen; Horst Hahn, Fraunhofer MEVIS; Gabriel Zachmann, University of Bremen - [MLMI-P-23]
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs
Zhengwang Wu, UNC-Chapel Hill; Sanghyun Park, UNC; Yanrong Guo, University of North Carolina at Chapel Hill; Yaozong Gao, University of North Carolina at Chapel Hill; Dinggang Shen, Department of Radiology and BRIC, University of North Carolina at Chapel Hill
14:00 – 16:00 Afternoon Session 1
Session Chair: Prof. Kenji Suzuki
- [MLMI-O-7]
Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration
Christoph Jud, University of Basel; Nadia Möri, ; Benedikt Bitterli, ; Philippe Cattin, - [MLMI-O-8]
Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation
Chen Qin, Imperial College London; Ricardo Guerrero, Imperial College London, London, United Kingdom; Christian Ledig, Imperial College London, London, United Kingdom; Christopher Bowles , Imperial College London, London, United Kingdom; Philip Scheltens, VU University Medical Centre, Amsterdam, Netherlands ; Frederik Barkhof, VU University Medical Center, Amsterdam, Netherlands ; Hanneke Rhodius-Meester, VU University Medical Centre, Amsterdam, Netherlands; Betty Tijms , VU University Medical Center, Amsterdam, Netherlands; Afina Lemstra, VU University Medical Center, Amsterdam, Netherlands; Wiesje van der Flier, VU University Medical Center, Amsterdam, Netherlands; Ben Glocker, Imperial College London, London, United Kingdom; Daniel Rueckert, “Imperial College London, UK” - [MLMI-O-9]
Tree-based transforms for privileged learning
Mehdi Moradi, IBM Research; Soheil Hor, University of British Columbia; Tanveer Syeda-Mahmood, IBM Research – Almaden - [MLMI-O-10]
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
Hosuk Ryou, University of Oxford; Mohammad Yaqub, ; Angelo Cavallaro, ; Fenella Roseman, ; Aris Papageorghiou, ; Alison Noble, - [MLMI-O-11]
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests
Mohammad Arafat Hussain, University of British Columbia; Ghassan Hamarneh, Simon Fraser University; Timothy O’Connell, Division of Emergency & Trauma Radiology, Vancouver General Hospital; Mohammed Mohammed, Division of Emergency & Trauma Radiology, Vancouver General Hospital; Rafeef Abugharbieh, University of British Columbia
16:00- 16:30 Coffee break
16:30 – 18:00 Afternoon Session 2
Session Chair: Prof. Joe Reinhardt
- [MLMI-O-12]
Direct Estimation of Fiber Orientations using Deep Learning in Diffusion Imaging
Simon Koppers, RWTH Aachen University; Dorit Merhof, RWTH Aachen - [MLMI-O-13]
Cross-modality anatomical landmark detection using histograms of unsigned gradient orientations and atlas location autocontext
Alison O’Neil, TMVS; Mohammad Dabbah, TMVS; Ian Poole, TMVS - [MLMI-O-14]
Transductive Maximum Margin Classification of ADHD Using Resting State fMRI
Lei Wang, Houston Methodist; Danping Li, ; Tiancheng He, ; Stephen T. Wong, ; Zhong Xue, Houston Methodist - [MLMI-O-15]
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
Gerard Sanroma, Universitat Pompeu Fabr, Barcelona, Spain; Oualid Benkarim, Univ. Pompeu Fabra; Gemma Piella, Univ. Pompeu Fabra; Miguel Ángel González Ballester, Univ. Pompeu Fabra
18:00 – 18:15 Closing remarks (Best Reviewer Award and NVIDIA Best Paper Award will be announced)