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ORCID14th ISBI 2017: Melbourne, Australia
- 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017. IEEE 2017, ISBN 978-1-5090-1172-8
MRI Reconstruction (Oral Session)
- Arvind Balachandrasekaran, Mathews Jacob
:
Novel structured low-rank algorithm to recover spatially smooth exponential image time series. 1-4 - Gopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler:
Dictionary-free MRI parameter estimation via kernel ridge regression. 5-9 - Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient registration of pathological images: A joint PCA/image-reconstruction approach. 10-14 - Dongwook Lee, Jae Jun Yoo, Jong Chul Ye:
Deep residual learning for compressed sensing MRI. 15-18 - Ukash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, Leslie Ying:
M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging. 19-22
Microscopy Image Reconstruction (Oral Session)
- Laurène Donati, Masih Nilchian, Michael Unser, Sylvain Trepout, Cédric Messaoudi, S. Marcoy:
Compressed sensing for dose reduction in STEM tomography. 23-27 - Simon Gazagnes, Emmanuel Soubies, Laure Blanc-Féraud:
High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation. 28-31 - William Meiniel, Piernicola Spinicelli, Elsa D. Angelini, Alexandra Fragola, Vincent Loriette, François Orieux, Eduardo Sepulveda, Jean-Christophe Olivo-Marin:
Reducing data acquisition for fast Structured Illumination Microscopy using Compressed Sensing. 32-35 - Miroslav Radojevic, Erik Meijering:
Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimation. 36-39 - Alejandro Sune-Aunon, Álvaro Jorge-Peñas, Hans Van Oosterwyck, Arrate Muñoz-Barrutia:
Super-resolved Traction Force Microscopy over whole cells. 40-43
CT Reconstruction (Oral Session)
- Alejandro Parada-Mayorga, Angela P. Cuadros, Gonzalo R. Arce:
Coded aperture design for compressive X-ray tomosynthesis via coherence analysis. 44-47 - Shahar Tsiper, Yonina C. Eldar:
Pseudo-polar reconstruction for tomography. 48-51 - Oliver Taubmann, Mathias Unberath, Günter Lauritsch, Stephan Achenbach, Andreas K. Maier:
Spatio-temporally regularized 4-D cardiovascular C-arm CT reconstruction using a proximal algorithm. 52-55 - Boliang Yu, Loriane Weber, Alexandra Pacureanu, Max Langer, Cécile Olivier, Peter Cloetens, Françoise Peyrin:
Phase retrieval in 3D X-ray magnified phase nano CT: Imaging bone tissue at the nanoscale. 56-59 - Guangzhao Zhou, Guohao Du, Yudan Wang, Dadong Wang, Tiqiao Xiao:
A low dose and in-vivo imaging system based on equally sloped tomography. 60-63
Reconstruction - Poster Session 1 (Poster Session)
- Serhat Ilbey, Can Baris Top, Tolga Çukur, Emine Ulku Saritas, H. Emre Guven:
Image reconstruction for Magnetic Particle Imaging using an Augmented Lagrangian Method. 64-67 - Shuya Ito, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo:
Probe localization using structure from motion for 3D ultrasound image reconstruction. 68-71
Brain MRI - Poster Session 1 (Poster Session)
- Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu:
Template-guided Functional Network Identification via Supervised Dictionary Learning. 72-76 - Yann Le Guen, Guillaume Auzias, Ghislaine Dehaene-Lambertz, François Leroy, Jean-François Mangin, Edouard Duchesnay, Olivier Coulon, Vincent Frouin:
Regional study of the genetic influence on the sulcal pits. 77-80 - Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Yong-Gang Chen, Fengyu Cong, Vince D. Calhoun:
Model order effects on independent vector analysis applied to complex-valued fMRI data. 81-84 - Bai Ying Lei, Xin Zhao, Dong Ni, Siping Chen, Tianfu Wang:
Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularization. 85-88 - Cristina Hilario Gomez, Luca Dodero, Alessandro Gozzi, Vittorio Murino, Diego Sona:
Atlas-free connectivity analysis driven by white matter structure. 89-92 - Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. 93-96 - Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Parnesh Raniga, Amanda Ng, Jurgen Fripp, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado:
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. 97-100 - Emily L. Dennis, Faisal Rashid, Joshua Faskowitz, Yan Jin, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Ian B. Hickie, Margaret J. Wright, Neda Jahanshad, Paul M. Thompson:
Mapping age effects along fiber tracts in young adults. 101-104 - Emily L. Dennis, Faisal Rashid, Neda Jahanshad, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson:
A network approach to examining injury severity in pediatric TBI. 105-108
Breast Machine Learning Poster Session 1 (Poster Session)
- Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit:
Classification of breast lesions using cross-modal deep learning. 109-112 - Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley:
Multi-scale mass segmentation for mammograms via cascaded random forests. 113-117
Computer Assisted Detection and Diagnosis Poster Session 1 (Poster Session)
- Jiawei Ma, Jingliang Dong, Yidan Shang, Kiao Inthavong, Jiyuan Tu, Dennis O. Frank-Ito:
Numerical air conditioning performance assessment of nasal models with morphologic variations. 118-121 - Ardalan Benam, Mark S. Drew, M. Stella Atkins:
A CBIR system for locating and retrieving pigment network in dermoscopy images using dermoscopy interest point detection. 122-125 - Kai-Kai Shen, Jurgen Fripp, Kerstin Pannek, Joanne George, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose:
A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression. 126-129 - Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. 130-134 - Zhexiao Guo, Minmin Shen, Le Duan, Yongjin Zhou, Jianghuai Xiang, Huijun Ding, Shifeng Chen, Oliver Deussen, Guo Dan:
Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural network. 135-138 - Donghuan Lu, Gavin Weiguang Ding, Andrew B. Merkur, Marinko V. Sarunic, Mirza Faisal Beg:
Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images. 139-142
CT Machine Learning Poster Session 1 (Poster Session)
- Hu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang:
Low-dose CT denoising with convolutional neural network. 143-146 - Xiao Li, Michele Guindani, Chaan S. Ng, Brian P. Hobbs:
Classification of adrenal lesions through spatial Bayesian modeling of GLCM. 147-151
Histopathology Machine Learning - Poster Session 1 (Poster Session)
- Luong Nguyen, Akif Burak Tosun, Jeffrey L. Fine, D. Lansing Taylor, S. Chakra Chennubhotla:
Architectural patterns for differential diagnosis of proliferative breast lesions from histopathological images. 152-155 - Yibing Ma, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Yushan Zheng, Huaqiang Shi:
Proposing regions from histopathological whole slide image for retrieval using Selective Search. 156-159 - Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. 160-163
Interventional Imaging - Poster Session 1 (Poster Session)
- Aleksandar Babic, Hans Henrik Odland, Olivier Gérard, Eigil Samset:
Left-ventricle to coronary venous tree 3D fusion for cardiac resynchronization therapy applications. 164-168 - Zhe Min, Max Q.-H. Meng:
General first-order TRE model when using a coordinate reference frame for rigid point-based registration. 169-173
Miscellaneous Machine Learning - Poster Session 1 (Poster Session)
- Éloïse Grossiord, Hugues Talbot, Nicolas Passat, Michel Meignan, Laurent Najman:
Automated 3D lymphoma lesion segmentation from PET/CT characteristics. 174-178 - Xiao Jia, Max Q.-H. Meng:
A study on automated segmentation of blood regions in Wireless Capsule Endoscopy images using fully convolutional networks. 179-182 - Haohan Li, Zhaozheng Yin, Yingke Xu:
Automated vesicle fusion detection using Convolutional Neural Networks. 183-187 - Chunjuan Bo, Xin Liang, Peng Chu, Jonathan Xu, Dong Wang, Jie Yang, Vasileios Megalooikonomou, Haibin Ling:
Osteoporosis prescreening using dental panoramic radiographs feature analysis. 188-191
MRI Machine Learning - Poster Session 1 (Poster Session)
- Yani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu:
Hippocampus segmentation through multi-view ensemble ConvNets. 192-196 - Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau:
Brain MRI super-resolution using deep 3D convolutional networks. 197-200
Nuclear Imaging - Poster Session 1 (Poster Session)
- Mohamed Almekkawy, Emad S. Ebbini:
Two-dimensional speckle tracking using parabolic polynomial expansion with Riesz transform. 201-205
Optical Image Analysis - Poster Session 1 (Poster Session)
- Ihor Smal, Sreya Basu, Laura Sayas, Niels Galjart, Erik Meijering:
Gaussian processes for trajectory analysis in microtubule tracking applications. 206-209 - Élodie Puybareau, Hugues Talbot, Laurent Najman:
Periodic area-of-motion characterization for bio-medical applications. 210-214
Pattern Recognition and Classification - Poster Session 1 (Poster Session)
- Asghar Tabatabaei Balaei, Kate Sutherland, Peter A. Cistulli, Philip de Chazal:
Automatic detection of obstructive sleep apnea using facial images. 215-218
Registration and Motion Compensation - Poster Session 1 (Poster Session)
- Daniel Schmitter, Michael Unser:
Closed-form alignment of active surface models using splines. 219-222 - Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. 223-226 - Mathias Unberath, Oliver Taubmann, Bastian Bier, Tobias Geimer, Michaela M. Hell, Stephan Achenbach, Andreas K. Maier:
Respiratory motion compensation in rotational angiography: Graphical model-based optimization of auto-focus measures. 227-230 - Francesco Sforazzini, Zhaolin Chen, Jakub Baran, Jason Bradley, Alexandra Carey, N. Jon Shah, Gary F. Egan:
MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging. 231-234
Restoration Poster Session 1 (Poster Session)
- Xiaochen Zhang, Justin W. L. Wan:
Image restoration of medical images with streaking artifacts by Euler's elastica inpainting. 235-239 - Jeremy J. Dahl, You Li:
Coherent color flow imaging: Velocity estimation using coherent signals. 240-243 - Philipp Flotho, Alejandro Romero, Karsten Schwerdtfeger, Matthias Hulser, Daniel J. Strauss:
Energy based selective averaging approach for multi-trial optical imaging recordings. 244-247
Retinal Machine Learning - Poster Session 1 (Poster Session)
- Avijit Dasgupta, Sonam Singh:
A fully convolutional neural network based structured prediction approach towards the retinal vessel segmentation. 248-251
Segmentation - Poster Session 1 (Poster Session)
- Julie Robic, Benjamin Perret, Alex Nkengne, Michel Couprie, Hugues Talbot:
Classification of the dermal-epidermal junction using in-vivo confocal microscopy. 252-255 - Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. 256-260 - Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang:
A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature. 261-264 - Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
An algorithm for fully automatic detection of calcium in chest CT imaging. 265-269 - Olivier Cros, Michael Gaihede, Anders Eklund, Hans Knutsson:
Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bones. 270-274
Ultrasound - Poster Session 1 (Poster Session)
- Enoch Jing-Han Chang, Yuexin Guo, Wei-Ning Lee:
Shear wave elastography for the characterization of arterial wall stiffness: A thin-plate phantom and ex vivo aorta study. 275-278
Ultrasound Machine Learning - Poster Session 1 (Poster Session)
- Padraig T. Looney, Gordon N. Stevenson, Kypros H. Nicolaides, Walter Plasencia, Malid Molloholli, Stavros Natsis, Sally L. Collins:
Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning. 279-282 - Nitin Singhal, Suvadip Mukherjee, Christian Perrey:
Automated assessment of endometrium from transvaginal ultrasound using Deep Learned Snake. 283-286
Skin Machine Learning (Oral Session)
- Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi:
Tree-loss function for training neural networks on weakly-labelled datasets. 287-291 - Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Skin melanoma segmentation using recurrent and convolutional neural networks. 292-296 - Afonso Menegola, Michel Fornaciali, Ramon Pires, Flávia Vasques Bittencourt, Sandra Avila, Eduardo Valle:
Knowledge transfer for melanoma screening with deep learning. 297-300 - Zhen Yu, Dong Ni, Siping Chen, Jing Qin, Shengli Li, Tianfu Wang, Bai Ying Lei:
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector. 301-304
MRI Segmentation (Oral Session)
- Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley:
Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. 305-309 - Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Fully automated classification of mammograms using deep residual neural networks. 310-314 - Bhavya Ajani, Karthik Krishnan:
Automatic and interactive prostate segmentation in MRI using learned contexts on a sparse graph template. 315-318 - Harshit Gupta, Daniel Schmitter, Virginie Uhlmann, Michael Unser:
General surface energy for spinal cord and aorta segmentation. 319-322 - Alessio Virzi, Jean-Baptiste Marret, Cécile Olivia Muller, Laureline Berteloot, Nathalie Boddaert, Sabine Sarnacki, Isabelle Bloch:
A new method based on template registration and deformable models for pelvic bones semi-automatic segmentation in pediatric MRI. 323-326
Microscopy and Histology Machine Learning (Oral Session)
- Felix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister:
ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. 327-331 - Laura J. Brattain, Brian A. Telfer, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung:
Automated dense neuronal fiber tracing and connectivity mapping at cellular level. 332-336 - Shan-E-Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot:
MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. 337-340 - Thomas Wollmann, Karl Rohr:
Deep residual Hough voting for mitotic cell detection in histopathology images. 341-344 - Daniel F. Gonzalez Obando, Astri Frafjord, Inger Oynebraten, Alexandre Corthay, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Multi-staining registration of large histology images. 345-348
Brain Connectivity (Oral Session)
- Carolyn D. Langen, Gennady V. Roshchupkin, Hieab H. Adams, Marius de Groot, Frans Vos, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen:
Heritability of connectivity and disconnectivity of the brain in a population-based study. 349-353 - Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert:
Exploring heritability of functional brain networks with inexact graph matching. 354-357 - Thomas Bolton, Dimitri Van De Ville:
Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions. 358-361 - Mustafa S. Salman, Yuhui Du, Eswar Damaraju, Qiu-Hua Lin, Vince D. Calhoun:
Group information guided ICA shows more sensitivity to group differences than dual-regression. 362-365 - Carolyn D. Langen, Meike W. Vernooij, Lotte G. M. Cremers, Wyke Huizinga, Marius de Groot, Mohammad Arfan Ikram, Tonya White, Wiro J. Niessen:
The structural disconnectome: A pathology-sensitive extension of the structural connectome. 366-370
CT Machine Learning (Oral Session)
- Prasad N. Samarakoon, Emmanuel Promayon, Céline Fouard:
Light Random Regression Forests for automatic multi-organ localization in CT images. 371-374 - Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. 375-378 - Xiaojie Huang, Junjie Shan, Vivek Vaidya:
Lung nodule detection in CT using 3D convolutional neural networks. 379-383 - Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, María J. Ledesma-Carbayo, Farbod N. Rahaghi, Raúl San José Estépar:
Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. 384-387 - Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers:
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. 388-391
Segmentation in Light Microscopy (Oral Session)
- Peter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr:
Segmentation of cell structures using Model-Based Set Covering with iterative reweighting. 392-396 - Tamal Batabyal, Scott T. Acton:
NeuroSoL: Automated classification of neurons using the sorted Laplacian of a graph. 397-400 - Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller:
Crowd sourcing image segmentation with iaSTAPLE. 401-405 - Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao:
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. 406-409 - Sarun Gulyanon, Nima Sharifai, Michael D. Kim, Akira Chiba, Gavriil Tsechpenakis:
Neurite reconstruction from time-lapse sequences using co-segmentation. 410-414
Registration in Microscopy Imaging (Oral Session)
- Sharib Ali, Karl Rohr, Markus Axer, Katrin Amunts, Roland Eils, Stefan Wörz:
Registration of ultra-high resolution 3D PLI data of human brain sections to their corresponding high-resolution counterpart. 415-419 - Qi Gao, Karl Rohr:
Optical flow-based non-rigid registration of cell nuclei: Global model with adaptively weighted regularization. 420-423 - Blair J. Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel J. Brat, Jun Kong:
Dynamic registration for gigapixel serial whole slide images. 424-428 - Ignacio Arganda-Carreras, D. G. Gordon, S. Arganda, M. Beaudoin, J. F. A. Traniello:
Group-wise 3D registration based templates to study the evolution of ant worker neuroanatomy. 429-432 - Grégoire Malandain, Gael Michelin:
Coherent temporal extrapolation of labeled images. 433-436
MRI Machine Learning I (Oral Session)
- Raghav Mehta, Jayanthi Sivaswamy:
M-net: A Convolutional Neural Network for deep brain structure segmentation. 437-440 - Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Simple domain adaptation for cross-dataset analyses of brain MRI data. 441-445 - Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang:
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. 446-450 - Dmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul M. Thompson:
Structural connectome validation using pairwise classification. 451-455 - Xiao Zheng, Jun Shi, Qi Zhang, Shihui Ying, Yan Li:
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm. 456-459
fMRI Analysis (Oral Session)
- Brandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson:
Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism. 460-463 - Gowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo:
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. 464-467 - Nandakishor Desai, Abd-Krim Seghouane, Marimuthu Palaniswami:
Multisubject fMRI data analysis via two dimensional multi-set canonical correlation analysis. 468-471 - Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville:
Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variation. 472-475 - Jian Li, Richard M. Leahy:
Parameter selection for optimized non-local means filtering of task fMRI. 476-480
Registration and Motion Compensation - Poster Session 2 (Poster Session)
- Yuru Pei, Yunai Yi, Gui Chen, Tianmin Xu, Hongbin Zha, Gengyu Ma:
Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forest. 481-484 - Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu:
A novel framework for groupwise registration of fMRI images based on common functional networks. 485-489 - Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux:
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. 490-493 - Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc E. Levenston, Andreas K. Maier:
JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markers. 494-497 - Hua Zhang, Xi Tao, Genggeng Qin, Jianhua Ma, Qianjin Feng, Wufan Chen:
A simple respiratory motion analysis method for chest tomosynthesis. 498-501
Brain MRI - Poster Session 2 (Poster Session)
- Benjamin S. C. Wade, Jing Sui, Stephanie Njau, Amber M. Leaver, Megha Vasvada, Boris A. Gutman, Paul M. Thompson, Randall Espinoza, Roger P. Woods, Christopher C. Abbott, Katherine L. Narr, Shantanu H. Joshi:
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. 502-506 - Liang Sun, Wei Shao, Daoqiang Zhang:
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. 507-510 - Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse:
Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian. 511-514 - Jagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui:
Fitting networks models for functional brain connectivity. 515-519 - Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang:
Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. 520-524 - Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg:
Brain geometry persistent homology marker for Parkinson's disease. 525-528 - Muhammad Naveed Iqbal Qureshi, Hang Joon Jo, Boreom Lee:
ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI study. 529-532 - Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu:
Predicting cortical 3-hinge locations via structural connective features. 533-537
Reconstruction - Poster Session 2 (Poster Session)
- Berkay Kanberoglu, Priya Nair, David H. Frakes:
An optical flow-based approach for the interpolation of minimally divergent velocimetry data. 538-542 - Davood Karimi, Rabab K. Ward:
Image reconstruction in computed tomography using variance-reduced stochastic gradient descent. 543-547 - Taweechai Ouypornkochagorn:
Constrained modeling for image reconstruction in the application of Electrical Impedance Tomography to the head. 548-551
Breast Machine Learning Poster Session 2 (Poster Session)
- Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul:
Domain specific convolutional neural nets for detection of architectural distortion in mammograms. 552-556
Computer Assisted Detection and Diagnosis Poster Session 2 (Poster Session)
- Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Automatic detection of aortic dissection in contrast-enhanced CT. 557-560 - Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham:
Semi-automatic skin lesion segmentation via fully convolutional networks. 561-564 - Afaf Tareef, Yang Song, Dagan Feng, Mei Chen, Weidong Cai:
Automated multi-stage segmentation of white blood cells via optimizing color processing. 565-568 - Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian:
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. 569-572 - Johannes Bopp, Peter Bartl, Ludwig Ritschl, Marcus Radicke, Andreas K. Maier, Gisela Anton, Christian Riess:
Towards cartilage diagnosis in X-ray phase-contrast interferometry. 573-577
CT Machine Learning Poster Session 2 (Poster Session)
- Pengyue Zhang, Fusheng Wang, Yefeng Zheng:
Self supervised deep representation learning for fine-grained body part recognition. 578-582 - Hansang Lee, Helen Hong, Junmo Kim:
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. 583-586
EEG and MEG - Poster Session 2 (Poster Session)
- Afarin Famili, Gowtham Krishnan Murugesan, Elizabeth M. Davenport, James Germi, Benjamin C. Wagner, Bradley Lega, Albert Montillo:
Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy. 587-590
Histopathology Machine Learning - Poster Session 2 (Poster Session)
- Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
Comparison of different methods for tissue segmentation in histopathological whole-slide images. 591-595 - Erwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani:
Disease grading of heterogeneous tissue using convolutional autoencoder. 596-599 - Yang Song, Ju Jia Zou, Hang Chang, Weidong Cai:
Adapting fisher vectors for histopathology image classification. 600-603
Interventional Imaging - Poster Session 2 (Poster Session)
- Pawel Kozlowski, Stig Urheim, Eigil Samset:
Evaluation of a multi-view autostereoscopic real-time 3D ultrasound system for minimally invasive cardiac surgery guidance. 604-607 - Yihui Cao, Qinhua Jin, Yundai Chen, Qinye Yin, Xianjing Qin, Jianan Li, Rui Zhu, Wei Zhao:
Automatic identification of side branch and main vascular measurements in intravascular optical coherence tomography images. 608-611
Miscellaneous Machine Learning - Poster Session 2 (Poster Session)
- Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks. 612-615 - Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang:
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. 616-619 - Sheng Wang, Ashwin Raju, Junzhou Huang:
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos. 620-623 - Carl Azzopardi, Yulia A. Hicks, Kenneth P. Camilleri:
Automatic Carotid ultrasound segmentation using deep Convolutional Neural Networks and phase congruency maps. 624-628 - Aritra Chowdhury, Dmitry V. Dylov, Qing Li, Michael MacDonald, Dan E. Meyer, Michael Marino, Alberto Santamaría-Pang:
Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. 629-632 - Joris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips:
Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy. 633-637
MRI Machine Learning - Poster Session 2 (Poster Session)
- Sebastian R. van der Voort, Renske Gahrmann, Martin J. van den Bent, Arnaud J. P. E. Vincent, Wiro J. Niessen, Marion Smits, Stefan Klein:
Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas. 638-641 - Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. 642-645
Optical Image Analysis - Poster Session 2 (Poster Session)
- Yu Qiang, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Colocalization analysis and particle tracking in multi-channel fluorescence microscopy images. 646-649 - Florence Yellin, Benjamin D. Haeffele, René Vidal:
Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and coding. 650-653
Pattern Recognition and Classification - Poster Session 2 (Poster Session)
- Tejal Bhamre, Zhizhen Zhao, Amit Singer:
Mahalanobis distance for class averaging of cryo-EM images. 654-658 - Fotios Tagkalakis, Dimitrios Vlachakis, Vasileios Megalooikonomou, Athanassios Skodras:
A novel approach to finger vein authentication. 659-662
Ultrasound Machine Learning - Poster Session 2 (Poster Session)
- Lingyun Wu, Yang Xin, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni:
Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation. 663-666 - Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood:
Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. 667-670 - Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. 671-674
Ultrasound - Poster Session 2 (Poster Session)
- Yang Zheng, Xian Long, Craig T. Jin, Ralph Nanan, Alistair Lee McEwan:
Apparent backscatter of cancellous bone from fundamental and second harmonics using an ultrasound imaging system. 675-679
Restoration Poster Session 2 (Poster Session)
- Tonghe Wang, Lei Zhu:
Image-domain non-uniformity correction for cone-beam CT. 680-683 - James Cunningham, Justice Lee, Thyagarajan Subramanian, Mohamed Almekkawy:
Transcranial enhanced Ultrasound Imaging of induced substantia nigra in brain using adaptive Third Order Volterra Filter: In-vivo results. 684-687
Retinal Machine Learning - Poster Session 2 (Poster Session)
- Appan K. Pujitha, Gamalapati S. Jahnavi, Jayanthi Sivaswamy:
Detection of neovascularization in retinal images using semi-supervised learning. 688-691 - Rashmi Panda, Niladri B. Puhan, Aparna Rao, Debananda Padhy, Ganapati Panda:
Recurrent neural network based retinal nerve fiber layer defect detection in early glaucoma. 692-695
MRI Poster Session 2 (Poster Session)
- Alper Gungor, Emre Kopanoglu, Tolga Çukur, H. Emre Guven:
A synthesis-based approach to compressive multi-contrast magnetic resonance imaging. 696-699 - Greg Ongie, Junyun Shi, Jeffrey A. Fessler:
Efficient computation of regularized field map estimates in 3D. 700-703
Segmentation - Poster Session 2 (Poster Session)
- Chichen Fu, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei segmentation of fluorescence microscopy images using convolutional neural networks. 704-708 - Soonam Lee, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correction. 709-713 - Michael R. Nowak, Donghyeop Han, Yoonsuck Choe:
Biologically grounded synthetic cerebrovasculature models for validation of segmentation algorithms. 714-717 - Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Daniel J. Brat, Jun Kong:
Automated level set segmentation of histopathologic cells with sparse shape prior support and dynamic occlusion constraint. 718-722
Light Imaging Restoration (Oral Session)
- Jizhou Li, Florian Luisier, Thierry Blu:
Pure-let deconvolution of 3D fluorescence microscopy images. 723-727 - Lucio Azzari, Alessandro Foi:
Variance stabilization in Poisson image deblurring. 728-731 - Ayush Baid, Alankar Kotwal, Riddhish Bhalodia, S. N. Merchant, Suyash P. Awate:
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. 732-736 - Abib Alimi, Marco Pizzolato, Rutger Henri Jacques Fick, Rachid Deriche:
Solving the inclination sign ambiguity in three dimensional Polarized Light Imaging with a PDE-based method. 737-740 - Benjamin D. Haeffele, Sophie Roth, Lin Zhou, René Vidal:
Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and coding. 741-744
MRI Machine Learning II (Oral Session)
- Hadrien Bertrand, Matthieu Perrot, Roberto Ardon, Isabelle Bloch:
Classification of MRI data using deep learning and Gaussian process-based model selection. 745-748 - Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. 749-753 - Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang:
An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. 754-757 - Fahmi Khalifa, Mohamed Shehata, Ahmed Soliman, Mohamed Abou El-Ghar, Tarek Eldiasty, Amy C. Dwyer, Moumen T. El-Melegy, Georgy L. Gimel'farb, Robert Keynton, Ayman El-Baz:
A generalized MRI-based CAD system for functional assessment of renal transplant. 758-761 - Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng:
Prostate segmentation in MR images using ensemble deep convolutional neural networks. 762-765
MRI Diffusion (Oral Session)
- Rutger Henri Jacques Fick, Neda Sepasian, Marco Pizzolato, Andrada Ianus, Rachid Deriche:
Assessing the feasibility of estimating axon diameter using diffusion models and machine learning. 766-769 - Alice P. Bates, Zubair Khalid, Jason D. McEwen, Rodney A. Kennedy:
An optimal dimensionality multi-shell sampling scheme with accurate and efficient transforms for diffusion MRI. 770-773 - Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell:
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. 774-777 - Jens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson:
Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging. 778-782 - Georgius A. M. Arkesteijn, Dirk H. J. Poot, M. Niestijl, Meike W. Vernooij, Wiro J. Niessen, Lucas J. van Vliet, Frans M. Vos:
Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model. 783-786
Brain Segmentation and Modeling (Oral Session)
- Dorothy Gors, Paul Suetens, Rik Vandenberghe, Peter Claes:
Hierarchical spectral clustering of MRI for global-to-local shape analysis: Applied to brain variations in Alzheimer's disease. 787-791 - Alessandro Palombit, Marco Castellaro, Massimiliano Calabrese, Chiara Romualdi, Francesca Benedetta Pizzini, Stefania Montemezzi, Enrico Grisan, Alessandra Bertoldo:
Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 792-795 - Fan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell:
Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. 796-799 - Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes K. Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert:
A deformable model for the reconstruction of the neonatal cortex. 800-803 - Rosita Shishegar, Anand A. Joshi, Mary Tolcos, David W. Walker, Leigh A. Johnston:
Automatic segmentation of fetal brain using diffusion-weighted imaging cues. 804-807
Modeling and Simulation in Microscopy (Oral Session)
- Denis K. Samuylov, Gábor Székely, Grégory Paul:
Tracking microtubule ends is more than point tracking. 808-812 - Bassem Ben Cheikh, Nicolas Elie, Benoît Plancoulaine, Catherine Bor-Angelier, Daniel Racoceanu:
Spatial interaction analysis with graph based mathematical morphology for histopathology. 813-817 - Vivien Aubert, Oscar Acosta, Nathalie Rioux-Leclercq, Romain Mathieu, Frederic Commandeur, Renaud de Crevoisier:
In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors. 818-821 - Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda, Martin Maska:
Model-based generation of synthetic 3D time-lapse sequences of motile cells with growing filopodia. 822-826 - Adrian Basarab, Daniel Rohrbach, Ningning Zhao, Jean-Yves Tourneret, Denis Kouame, Jonathan Mamou:
Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method. 827-830
MRI Machine Learning III (Oral Session)
- Tanja Kurzendorfer, Alexander Brost, Christoph Forman, Andreas K. Maier:
Automated left ventricle segmentation in 2-D LGE-MRI. 831-834 - Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova:
Residual and plain convolutional neural networks for 3D brain MRI classification. 835-838 - Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze:
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. 839-843 - Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. 844-848 - Tzu-Wei Huang, Hwann-Tzong Chen, Ryuichi Fujimoto, Koichi Ito, Kai Wu, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki:
Age estimation from brain MRI images using deep learning. 849-852
Registration in Medical Imaging (Oral Session)
- Oliver Zettinig, Julia Rackerseder, Beatrice Lentes, Tobias Maurer, Kay Westenfelder, Matthias Eiber, Benjamin Frisch, Nassir Navab:
Preconditioned intensity-based prostate registration using statistical deformation models. 853-857 - Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Fast predictive multimodal image registration. 858-862 - Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu:
Inter-subject fMRI registration based on functional networks. 863-867 - Greg M. Fleishman, Paul M. Thompson:
Adaptive gradient descent optimization of initial momenta for geodesic shooting in diffeomorphisms. 868-872 - Greg M. Fleishman, Paul M. Thompson:
The impact of matching functional on atrophy measurement from geodesic shooting in diffeomorphisms. 873-877
CAD in Medical Imaging (Oral Session)
- Oscar Bauer, Anne-Marie Le Sourd, Giacomo Nardi, Thomas Bourgeron, Jean-Christophe Olivo-Marin, Elodie Ey, Fabrice de Chaumont:
Unbiased analysis of mouse social behaviour using unsupervised machine learning. 878-881 - Chetan L. Srinidhi, Priyadarshi Rath, Jayanthi Sivaswamy:
A Vessel Keypoint Detector for junction classification. 882-885 - Argyrios Christodoulidis, Thomas Hurtut, Farida Cheriet:
Proliferative diabetic retinopathy characterization based on the spatial organization of vascular junctions in fundus images. 886-890 - Wen Hou, Bai Ying Lei, Wenbin Zou, Xia Li, Cishen Zhang:
Ensemble prediction of longitudinal scores of Alzheimer's disease based on ℓ2, 1-norm regularized correntropy with spatial-temporal constraint. 891-894 - Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, Dagan Feng, Guang Ning:
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. 895-898
Ultrasound (Oral Session)
- Enrico Grisan, Gaia Rizzo, Matteo Tonietto, Alessandro Coran, Bernd Raffeiner, A. Scanu, V. Martini, Roberto Stramare, Ugo Fiocco:
From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 899-902 - Sathiyamoorthy Selladurai, Arun Kumar Thittai:
Comparison of two novel-strategies to obtain sub-pitch resolution in ultrasound elastography. 903-906 - Regev Cohen, Yonina C. Eldar:
Sparse emission pattern in spectral blood Doppler. 907-910 - Brecht Heyde, Nick Bottenus, Gregg E. Trahey, Jan D'hooge:
Impact of beamforming strategies and regularisation on ultrasound displacement estimation using RF-based image registration. 911-915 - Dalong Liu, Kyle Schaible, Walter Low, Emad S. Ebbini:
Three-dimensional image guidance for transcranial focused ultrasound therapy. 916-919
Histopathology Machine Learning (Oral Session)
- Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks. 920-923 - Erwan Zerhouni, David Lanyi, Matheus P. Viana, Maria Gabrani:
Wide residual networks for mitosis detection. 924-928 - Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck:
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. 929-932 - Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter:
Nuclei segmentation in histopathology images using deep neural networks. 933-936 - Nicolas Brieu, Günter Schmidt:
Learning size adaptive local maxima selection for robust nuclei detection in histopathology images. 937-941
Brain MRI - Poster Session 3 (Poster Session)
- Lingling Luo, Yitian Zhao, Jian Yang, Yalin Zheng, Siyuan Yang, Danni Ai, Yongtian Wang:
Cerebral vascular enhancement using a weighted 3D symmetry filter. 942-946 - Shu Zhang, Xiang Li, Lei Guo, Tianming Liu:
Exploring human brain activation via nested sparse coding and functional operators. 947-951 - Lin Yuan, Tianming Liu, Dewen Hu:
Group-wise sparse representation of resting-state fMRI data for better understanding of schizophrenia. 952-956 - Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Shu Zhang, Junwei Han, Lei Guo, Tianming Liu:
FMRI data classification based on hybrid temporal and spatial sparse representation. 957-960 - George W. Hafzalla, Anjanibhargavi Ragothaman, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Gautam Prasad, Paul M. Thompson:
A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines. 961-965 - Syeda Warda Taqdees, Amanda Ng, David K. Wright, Mary Tolcos, Leigh A. Johnston:
Analysis of ADC model robustness in diffusion-weighted MRI. 966-969 - Alessandro Crimi, Luca Dodero, Vittorio Murino, Diego Sona:
Case-control discrimination through effective brain connectivity. 970-973 - Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu:
Decoding dynamic auditory attention during naturalistic experience. 974-977
Breast Machine Learning Poster Session 3 (Poster Session)
- Maria V. Sainz de Cea, Yongyi Yang:
Estimating the level of false positives in detection of microcalcifications in mammogram images. 978-981
Computer Assisted Detection and Diagnosis Poster Session 3 (Poster Session)
- Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko:
Toward automatic diagnosis of hip dysplasia from 2D ultrasound. 982-985 - Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. 986-990 - Shashank Tripathi, Seyed Hossein Nozadi, Mahsa Shakeri, Samuel Kadoury:
Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification. 991-994 - Omar Dekhil, M. Ismail, Ahmed Shalaby, Andrew E. Switala, Adel Said Elmaghraby, Robert Keynton, Georgy L. Gimel'farb, Gregory Barnes, Ayman El-Baz:
A novel CAD system for autism diagnosis using structural and functional MRI. 995-998 - Rudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri:
Statistics on the space of trajectories for longitudinal data analysis. 999-1002
CT Machine Learning Poster Session 3 (Poster Session)
- Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen:
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. 1003-1006 - Sarfaraz Hussein, Robert J. Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. 1007-1010
EEG and MEG - Poster Session 3 (Poster Session)
- Lan Ma, Thierry Blu, William S.-Y. Wang:
Event-related potentials Source Separation based on a weak exclusion principle. 1011-1014
Histopathology Machine Learning - Poster Session 3 (Poster Session)
- Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu:
HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. 1019-1023 - Kausik Das, Sri Phani Krishna Karri, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet:
Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnification. 1024-1027 - Nilgoon Zarei, Amir Bakhtiari, Paul Gallagher, Mira Keys, Calum MacAulay:
Automated prostate glandular and nuclei detection using hyperspectral imaging. 1028-1031
Interventional Imaging - Poster Session 3 (Poster Session)
- Rémi Martin, Etienne Vachon, Joaquim Miró, Luc Duong:
3D reconstruction of vascular structures using graph-based voxel coloring. 1032-1035 - Tobias Geimer, Mathias Unberath, Adriana Birlutiu, Oliver Taubmann, J. Wolfelschneider, Christoph Bert, Andreas K. Maier:
A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy. 1036-1039
Miscellaneous Machine Learning - Poster Session 3 (Poster Session)
- Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy images. 1040-1043 - Eduardo Ribeiro, Michael Häfner, Georg Wimmer, Toru Tamaki, Jens J. W. Tischendorf, Shigeto Yoshida, Shinji Tanaka, Andreas Uhl:
Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks. 1044-1048 - Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang:
Coronary luminal and wall mask prediction using convolutional neural network. 1049-1052 - Denis Kleyko, Sameer Khan, Evgeny Osipov, Suet-Peng Yong:
Modality classification of medical images with distributed representations based on cellular automata reservoir computing. 1053-1056 - Anjany Kumar Sekuboyina, Surya Teja Devarakonda, Chandra Sekhar Seelamantula:
A convolutional neural network approach for abnormality detection in Wireless Capsule Endoscopy. 1057-1060 - Junjie Shan, Jamie E. Despot, Toan T. Huynh, Richard Souvenir:
Echocardiogram localization using barycentric interpolation. 1061-1065
MRI Machine Learning - Poster Session 3 (Poster Session)
- Andrés Larroza, María Pilar López-Lereu, José Vicente Monmeneu, Vicente Bodí, David Moratal:
Texture analysis for infarcted myocardium detection on delayed enhancement MRI. 1066-1069 - Ying Xia, José V. Manjón, Craig Engstrom, Stuart Crozier, Olivier Salvado, Jurgen Fripp:
Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks. 1070-1073
Nuclear Imaging - Poster Session 3 (Poster Session)
- Tang-Kai Yin, Nan-Tsing Chiu:
Correction of partial volume effect in 99mTc-TRODAT-1 brain SPECT images using an edge-preserving weighted regularization. 1074-1077
Retinal Machine Learning - Poster Session 3 (Poster Session)
- Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. 1078-1082 - Suman Sedai, Ruwan B. Tennakoon, Pallab Kanti Roy, Khoa Cao, Rahil Garnavi:
Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks. 1083-1086
Optical Image Analysis - Poster Session 3 (Poster Session)
- Isabel Schlangen, Vibhav Bharti, Emmanuel Delande, Daniel E. Clark:
Joint multi-object and clutter rate estimation with the single-cluster PHD filter. 1087-1091 - Thibault Lagache, Giacomo Nardi, Laetitia Bertot, Alexandre Grassart, Nathalie Sauvonnet, Jean-Christophe Olivo-Marin:
Combining global tracking with statistical classification to analyze endocytosis dynamics using TIRF microscopy. 1092-1095
Pattern Recognition and Classification - Poster Session 3 (Poster Session)
- Tianjiao Liu, Shuaining Xie, Yukang Zhang, Jing Yu, Lijuan Niu, Weidong Sun:
Feature selection and thyroid nodule classification using transfer learning. 1096-1099 - Bikash Santra, Dipti Prasad Mukherjee, Dipankar Chakrabarti:
A non-invasive approach for estimation of hemoglobin analyzing blood flow in palm. 1100-1103
Reconstruction - Poster Session 3 (Poster Session)
- Lucie Thiebaut Lonjaret, Christine Bakhous, Timothé Boutelier, Sylvain Takerkart, Olivier Coulon:
ISA - an inverse surface-based approach for cortical fMRI data projection. 1104-1107 - Lokesh B, Arun Kumar Thittai:
Design of a low cost ultrasound system using diverging beams and synthetic aperture approach: Preliminary study. 1108-1111 - Shiyang Hu, F. Yang, Michele Griffa, Rolf Kaufmann, Gisela Anton, Andreas K. Maier, Christian Riess:
Towards quantification of kidney stones using X-ray dark-field tomography. 1112-1115
Ultrasound Machine Learning - Poster Session 3 (Poster Session)
- C. Raynaud, Hélène Langet, Mihaela Silvia Amzulescu, Eric Saloux, H. Bertrand, Pascal Allain, Paolo Piro:
Handcrafted features vs ConvNets in 2D echocardiographic images. 1116-1119 - Shengran Su, Zhifan Gao, Heye Zhang, Qiang Lin, William Kongto Hau, Shuo Li:
Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network. 1120-1124
Segmentation - Poster Session 3 (Poster Session)
- Muriel Mescam, J. Brossard, N. Vayssiere, Caroline Fonta:
Multi-angle TOF MR brain angiography of the common marmoset. 1125-1128 - Daniel F. Gonzalez Obando, Lauriane Rohfritsch, Manon Faure, Lydia Danglot, Vannary Meas-Yedid, Jean-Christophe Olivo-Marin, Alexandre Cecilien Dufour:
Quad-edge active contours for biomedical image segmentation. 1129-1132 - Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, Amanda C. L. Ng, David G. Barnes, David L. Dowe, Gary F. Egan:
Vein segmentation using shape-based Markov Random Fields. 1133-1136 - Vahid Azimi, Young Hwan Chang, Guillaume Thibault, Jaclyn Smith, Takahiro Tsujikawa, Benjamin Kukull, Bradden Jensen, Christopher Corless, Adam A. Margolin, Joe W. Gray:
Breast cancer histopathology image analysis pipeline for tumor purity estimation. 1137-1140 - Roman Peter, Bart J. Emmer, Adriaan C. G. M. van Es, Theo van Walsum:
Cortical and vascular probability maps for analysis of human brain in computed tomography images. 1141-1145
Registration and Motion Compensation - Poster Session 3 (Poster Session)
- Lukás Rucka, Igor Peterlík:
Fast reconstruction of image deformation field using radial basis function. 1146-1150 - Sharib Ali, Karl Rohr, Markus Axer, David Gräßel, Philipp Schlömer, Katrin Amunts, Roland Eils, Stefan Wörz:
Elastic registration of high-resolution 3D PLI data of the human brain. 1151-1155 - Santiago Sanz-Estébanez, Oscar Pena-Nogales, Rodrigo de Luis García, Santiago Aja-Fernández, Carlos Alberola-López:
Groupwise non-rigid registration on multiparametric abdominal DWI acquisitions for robust ADC estimation: Comparison with pairwise approaches and different multimodal metrics. 1156-1159 - Albert C. Cruz, Brian Street:
Frequency divergence image: A novel method for action recognition. 1160-1164
Restoration Poster Session 3 (Poster Session)
- Cigdem Sazak, Boguslaw Obara:
Contrast-independent curvilinear structure enhancement in 3D biomedical images. 1165-1168 - Amir Tofighi Zavareh, Oscar Barajas, Sebastian Hoyos:
An efficient estimation algorithm for the calibration of low-cost SS-OCT systems. 1169-1172
Nuclear Imaging (Oral Session)
- Pierrick Bourgeat, Victor L. Villemagne, Vincent Doré, Colin L. Masters, David Ames, Christopher C. Rowe, Olivier Salvado, Jurgen Fripp:
PET-only 18F-AV1451 tau quantification. 1173-1176 - Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. 1177-1180 - Bao Yang, Leslie Ying, Jing Tang:
Enhancing Bayesian PET image reconstruction using neural networks. 1181-1184 - Chao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
4D reconstruction of cardiac SPECT using a robust spatialtemporal prior. 1185-1188 - G. P. Ralli, Daniel R. McGowan, Michael A. Chappell, Ricky A. Sharma, Geoff S. Higgins, J. D. Fenwick:
4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines. 1189-1192
CT Segmentation (Oral Session)
- Yufei Li, Bruno Sixou, Andrew Burghardt, Françoise Peyrin:
Super-resolution/segmentation of 3D trabecular bone images with total variation and nonconvex Cahn-Hilliard functional. 1193-1196 - Timothée Evain, Xavier Ripoche, Jamal Atif, Isabelle Bloch:
Semi-automatic teeth segmentation in Cone-Beam Computed Tomography by graph-cut with statistical shape priors. 1197-1200 - Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng:
Computational boundary definition by geodesic graph model. 1201-1204 - Suvadip Mukherjee, Xiaojie Huang, Roshni R. Bhagalia:
Lung nodule segmentation using deep learned prior based graph cut. 1205-1208 - Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumanta N. Pattanaik, Ulas Bagci:
Robust and fully automated segmentation of mandible from CT scans. 1209-1212
Brain Machine Learning (Oral Session)
- Rafael Ortiz-Ramon, Andrés Larroza, Estanislao Arana, David Moratal:
Identifying the primary site of origin of MRI brain metastases from lung and breast cancer following a 2D radiomics approach. 1213-1216 - Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu:
3-D functional brain network classification using Convolutional Neural Networks. 1217-1221 - Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu, Xiantong Zeng, Shuo Li:
Direct aneurysm volume estimation by multi-view semi-supervised manifold learning. 1222-1225 - Boris A. Gutman, Fabrizio Pizzagalli, Neda Jahanshad, Margaret J. Wright, Katie L. McMahon, Greig I. de Zubicaray, Paul M. Thompson:
Approximating principal genetic components of subcortical shape. 1226-1230 - Haijun Lei, Jian Zhang, Zhang Yang, Ee-Leng Tan, Bai Ying Lei, Qiuming Luo:
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. 1231-1234
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