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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