Table of Contents

• Novel structured low-rank algorithm to recover spatially smooth exponential image time seriesArvind Balachandrasekaran, Mathews Jacob. 1-4 [doi]
• Dictionary-free MRI parameter estimation via kernel ridge regressionGopal Nataraj, Jon-Fredrik Nielsen, Jeffrey A. Fessler. 5-9 [doi]
• Efficient registration of pathological images: A joint PCA/image-reconstruction approachXu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer. 10-14 [doi]
• Deep residual learning for compressed sensing MRIDongwook Lee, Jae Jun Yoo, Jong Chul Ye. 15-18 [doi]
• M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imagingUkash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, Leslie Ying. 19-22 [doi]
• Compressed sensing for dose reduction in STEM tomographyL. Donati, Masih Nilchian, Michael Unser, Sylvain Trepout, Cédric Messaoudi, S. Marcoy. 23-27 [doi]
• High density molecule localization for super-resolution microscopy using CEL0 based sparse approximationSimon Gazagnes, Emmanuel Soubies, Laure Blanc-Féraud. 28-31 [doi]
• Reducing data acquisition for fast Structured Illumination Microscopy using Compressed SensingWilliam Meiniel, Piernicola Spinicelli, Elsa D. Angelini, Alexandra Fragola, Vincent Loriette, François Orieux, Eduardo Sepulveda, Jean-Christophe Olivo-Marin. 32-35 [doi]
• Neuron reconstruction from fluorescence microscopy images using sequential Monte Carlo estimationMiroslav Radojevic, Erik Meijering. 36-39 [doi]
• Super-resolved Traction Force Microscopy over whole cellsAlejandro Sune-Aunon, Alvaro Jorge-Penas, Hans Van Oosterwyck, Arrate Muñoz-Barrutia. 40-43 [doi]
• Coded aperture design for compressive X-ray tomosynthesis via coherence analysisAlejandro Parada-Mayorga, Angela P. Cuadros, Gonzalo R. Arce. 44-47 [doi]
• Pseudo-polar reconstruction for tomographyShahar Tsiper, Yonina C. Eldar. 48-51 [doi]
• Spatio-temporally regularized 4-D cardiovascular C-arm CT reconstruction using a proximal algorithmOliver Taubmann, Mathias Unberath, Günter Lauritsch, Stephan Achenbach, Andreas K. Maier. 52-55 [doi]
• Phase retrieval in 3D X-ray magnified phase nano CT: Imaging bone tissue at the nanoscaleBoliang Yu, Loriane Weber, Alexandra Pacureanu, Max Langer, Cecile Olivier, Peter Cloetens, Françoise Peyrin. 56-59 [doi]
• A low dose and in-vivo imaging system based on equally sloped tomographyGuangzhao Zhou, Guohao Du, Yudan Wang, Dadong Wang, Tiqiao Xiao. 60-63 [doi]
• Image reconstruction for Magnetic Particle Imaging using an Augmented Lagrangian MethodSerhat Ilbey, Can Baris Top, Tolga Çukur, Emine Ulku Saritas, H. Emre Guven. 64-67 [doi]
• Probe localization using structure from motion for 3D ultrasound image reconstructionShuya Ito, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo. 68-71 [doi]
• Template-guided Functional Network Identification via Supervised Dictionary LearningYu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu. 72-76 [doi]
• Regional study of the genetic influence on the sulcal pitsYann Le Guen, Guillaume Auzias, Ghislaine Dehaene-Lambertz, François Leroy, Jean-Francois Mangin, Edouard Duchesnay, Olivier Coulon, Vincent Frouin. 77-80 [doi]
• Model order effects on independent vector analysis applied to complex-valued fMRI dataLi-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Yong-Gang Chen, Fengyu Cong, Vince D. Calhoun. 81-84 [doi]
• Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularizationBai Ying Lei, Xin Zhao, Dong Ni, Siping Chen, Tianfu Wang. 85-88 [doi]
• Atlas-free connectivity analysis driven by white matter structureCristina Hilario Gomez, Luca Dodero, Alessandro Gozzi, Vittorio Murino, Diego Sona. 89-92 [doi]
• Longitudinal multi-scale mapping of infant cortical folding using spherical waveletsDingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. 93-96 [doi]
• A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mappingAmir 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. 97-100 [doi]
• Mapping age effects along fiber tracts in young adultsEmily 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. 101-104 [doi]
• A network approach to examining injury severity in pediatric TBIEmily L. Dennis, Faisal Rashid, Neda Jahanshad, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson. 105-108 [doi]
• Classification of breast lesions using cross-modal deep learningOmer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit. 109-112 [doi]
• Multi-scale mass segmentation for mammograms via cascaded random forestsHang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley. 113-117 [doi]
• Numerical air conditioning performance assessment of nasal models with morphologic variationsJiawei Ma, Jingliang Dong, Yidan Shang, Kiao Inthavong, Jiyuan Tu, Dennis O. Frank-Ito. 118-121 [doi]
• A CBIR system for locating and retrieving pigment network in dermoscopy images using dermoscopy interest point detectionArdalan Benam, Mark S. Drew, M. Stella Atkins. 122-125 [doi]
• A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regressionKai-Kai Shen, Jurgen Fripp, Kerstin Pannek, Joanne George, Paul Colditz, Roslyn N. Boyd, Stephen E. Rose. 126-129 [doi]
• Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomographyGustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer. 130-134 [doi]
• Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural networkZhexiao Guo, Minmin Shen, Le Duan, Yongjin Zhou, Jianghuai Xiang, Huijun Ding, Shifeng Chen, Oliver Deussen, Guo Dan. 135-138 [doi]
• Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography imagesDonghuan Lu, Weiguang Ding, Andrew Merkur, Marinko V. Sarunic, Mirza Faisal Beg. 139-142 [doi]
• Low-dose CT denoising with convolutional neural networkHu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang. 143-146 [doi]
• Classification of adrenal lesions through spatial Bayesian modeling of GLCMX. Li, M. Guindani, C. S. Ng, B. P. Hobbs. 147-151 [doi]
• Architectural patterns for differential diagnosis of proliferative breast lesions from histopathological imagesL. Nguyen, A. B. Tosun, J. L. Fine, D. L. Taylor, S. C. Chennubhotla. 152-155 [doi]
• Proposing regions from histopathological whole slide image for retrieval using Selective SearchYibing Ma, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Yushan Zheng, Huaqiang Shi. 156-159 [doi]
• The importance of stain normalization in colorectal tissue classification with convolutional networksFrancesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert J. S. Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak. 160-163 [doi]
• Left-ventricle to coronary venous tree 3D fusion for cardiac resynchronization therapy applicationsAleksandar Babic, Hans Henrik Odland, Olivier Gérard, Eigil Samset. 164-168 [doi]
• General first-order TRE model when using a coordinate reference frame for rigid point-based registrationZhe Min, Max Q.-H. Meng. 169-173 [doi]
• Automated 3D lymphoma lesion segmentation from PET/CT characteristicsÉloïse Grossiord, Hugues Talbot, Nicolas Passat, Michel Meignan, Laurent Najman. 174-178 [doi]
• A study on automated segmentation of blood regions in Wireless Capsule Endoscopy images using fully convolutional networksXiao Jia 0005, Max Q.-H. Meng. 179-182 [doi]
• Automated vesicle fusion detection using Convolutional Neural NetworksHaohan Li, Zhaozheng Yin, Yingke Xu. 183-187 [doi]
• Osteoporosis prescreening using dental panoramic radiographs feature analysisChunjuan Bo, Xin Liang, Peng Chu, Jonathan Xu, Dong Wang, Jie Yang, Vasileios Megalooikonomou, Haibin Ling. 188-191 [doi]
• Hippocampus segmentation through multi-view ensemble ConvNetsYani Chen, Bibo Shi, Zhewei Wang, Pin Zhang, Charles D. Smith, Jundong Liu. 192-196 [doi]
• Brain MRI super-resolution using deep 3D convolutional networksChi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau. 197-200 [doi]
• Two-dimensional speckle tracking using parabolic polynomial expansion with Riesz transformMohamed Almekkawy, Emad S. Ebbini. 201-205 [doi]
• Gaussian processes for trajectory analysis in microtubule tracking applicationsIhor Smal, Sreya Basu, Laura Sayas, Niels Galjart, Erik Meijering. 206-209 [doi]
• Periodic area-of-motion characterization for bio-medical applicationsÉlodie Puybareau, Hugues Talbot, Laurent Najman. 210-214 [doi]
• Automatic detection of obstructive sleep apnea using facial imagesAsghar Tabatabaei Balaei, Kate Sutherland, Peter A. Cistulli, Philip de Chazal. 215-218 [doi]
• Closed-form alignment of active surface models using splinesDaniel Schmitter, Michael Unser. 219-222 [doi]
• Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental studyHongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood. 223-226 [doi]
• Respiratory motion compensation in rotational angiography: Graphical model-based optimization of auto-focus measuresMathias Unberath, Oliver Taubmann, Bastian Bier, Tobias Geimer, Michaela M. Hell, Stephan Achenbach, Andreas K. Maier. 227-230 [doi]
• MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imagingFrancesco Sforazzini, Zhaolin Chen, Jakub Baran, Jason Bradley, Alexandra Carey, N. Jon Shah, Gary F. Egan. 231-234 [doi]
• Image restoration of medical images with streaking artifacts by Euler's elastica inpaintingXiaochen Zhang, Justin W. L. Wan. 235-239 [doi]
• Coherent color flow imaging: Velocity estimation using coherent signalsJeremy J. Dahl, You Li. 240-243 [doi]
• Energy based selective averaging approach for multi-trial optical imaging recordingsPhilipp Flotho, Alejandro Romero, Karsten Schwerdtfeger, Matthias Hulser, Daniel J. Strauss. 244-247 [doi]
• A fully convolutional neural network based structured prediction approach towards the retinal vessel segmentationAvijit Dasgupta, Sonam Singh. 248-251 [doi]
• Classification of the dermal-epidermal junction using in-vivo confocal microscopyJ. Robic, Benjamin Perret, A. Nkengne, Michel Couprie, Hugues Talbot. 252-255 [doi]
• Investigating deep side layers for skin lesion segmentationBehzad Bozorgtabar, ZongYuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi. 256-260 [doi]
• A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical featureShenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang. 261-264 [doi]
• An algorithm for fully automatic detection of calcium in chest CT imagingHui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood. 265-269 [doi]
• Surface and curve skeleton from a structure tensor analysis applied on mastoid air cells in human temporal bonesOlivier Cros, Michael Gaihede, Anders Eklund, Hans Knutsson. 270-274 [doi]
• Shear wave elastography for the characterization of arterial wall stiffness: A thin-plate phantom and ex vivo aorta studyEnoch Jing-Han Chang, Yuexin Guo, Wei-Ning Lee. 275-278 [doi]
• Automatic 3D ultrasound segmentation of the first trimester placenta using deep learningPadraig T. Looney, Gordon N. Stevenson, Kypros H. Nicolaides, Walter Plasencia, Malid Molloholli, Stavros Natsis, Sally L. Collins. 279-282 [doi]
• Automated assessment of endometrium from transvaginal ultrasound using Deep Learned SnakeNitin Singhal, Suvadip Mukherjee, Christian Perrey. 283-286 [doi]
• Tree-loss function for training neural networks on weakly-labelled datasetsSergey Demyanov, Rajib Chakravorty, ZongYuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi. 287-291 [doi]
• Skin melanoma segmentation using recurrent and convolutional neural networksMohamed Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi. 292-296 [doi]
• Knowledge transfer for melanoma screening with deep learningAfonso Menegola, Michel Fornaciali, Ramon Pires, Flávia Vasques Bittencourt, Sandra Avila Fontes de Avila, Eduardo Valle. 297-300 [doi]
• Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vectorZhen Yu, Dong Ni, Siping Chen, Jin Qin, Shengli Li, Tianfu Wang, Bai Ying Lei. 301-304 [doi]
• Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape priorGabriel Maicas, Gustavo Carneiro, Andrew P. Bradley. 305-309 [doi]
• Fully automated classification of mammograms using deep residual neural networksNeeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley. 310-314 [doi]
• Automatic and interactive prostate segmentation in MRI using learned contexts on a sparse graph templateBhavya Ajani, Karthik Krishnan. 315-318 [doi]
• General surface energy for spinal cord and aorta segmentationHarshit Gupta, Daniel Schmitter, Virginie Uhlmann, Michael Unser. 319-322 [doi]
• A new method based on template registration and deformable models for pelvic bones semi-automatic segmentation in pediatric MRIAlessio Virzi, J.-B. Marret, C. O. Muller, L. Berteloot, Nathalie Boddaert, S. Sarnacki, Isabelle Bloch. 323-326 [doi]
• ICON: An interactive approach to train deep neural networks for segmentation of neuronal structuresFelix Gonda, Verena Kaynig, Thouis R. Jones, Daniel Haehn, Jeff W. Lichtman, Toufiq Parag, Hanspeter Pfister. 327-331 [doi]
• Automated dense neuronal fiber tracing and connectivity mapping at cellular levelLaura J. Brattain, Brian A. Telfer, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung. 332-336 [doi]
• MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy imagesShan-e-Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot. 337-340 [doi]
• Deep residual Hough voting for mitotic cell detection in histopathology imagesThomas Wollmann, Karl Rohr. 341-344 [doi]
• Multi-staining registration of large histology imagesDaniel F. Gonzalez Obando, Astri Frafjord, Inger Oynebraten, Alexandre Corthay, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid. 345-348 [doi]
• Exploring heritability of functional brain networks with inexact graph matchingSofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert. 354-357 [doi]
• Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactionsThomas Bolton, Dimitri Van De Ville. 358-361 [doi]
• Group information guided ICA shows more sensitivity to group differences than dual-regressionMustafa S. Salman, Yuhui Du, Eswar Damaraju, Qiu-Hua Lin, Vince D. Calhoun. 362-365 [doi]
• Light Random Regression Forests for automatic multi-organ localization in CT imagesPrasad N. Samarakoon, Emmanuel Promayon, Céline Fouard. 371-374 [doi]
• Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD studyJingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini. 375-378 [doi]
• Lung nodule detection in CT using 3D convolutional neural networksXiaojie Huang, Junjie Shan, Vivek Vaidya. 379-383 [doi]
• Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT imagesP. Nardelli, Daniel Jimenez-Carretero, D. Bermejo-Pelaez, María J. Ledesma-Carbayo, Farbod N. Rahaghi, Raúl San José Estépar. 384-387 [doi]
• Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networksKarthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers. 388-391 [doi]
• Segmentation of cell structures using Model-Based Set Covering with iterative reweightingPeter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr. 392-396 [doi]
• NeuroSoL: Automated classification of neurons using the sorted Laplacian of a graphTamal Batabyal, Scott T. Acton. 397-400 [doi]
• Crowd sourcing image segmentation with iaSTAPLEDmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller. 401-405 [doi]
• Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nucleiLing Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao. 406-409 [doi]
• Neurite reconstruction from time-lapse sequences using co-segmentationS. Gulyanon, N. Sharifai, Michael D. Kim, Akira Chiba, Gavriil Tsechpenakis. 410-414 [doi]
• Registration of ultra-high resolution 3D PLI data of human brain sections to their corresponding high-resolution counterpartSharib Ali, Karl Rohr, Markus Axer, Katrin Amunts, Roland Eils, Stefan Wörz. 415-419 [doi]
• Optical flow-based non-rigid registration of cell nuclei: Global model with adaptively weighted regularizationQi Gao, Karl Rohr. 420-423 [doi]
• Dynamic registration for gigapixel serial whole slide imagesBlair J. Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel J. Brat, Jun Kong. 424-428 [doi]
• Group-wise 3D registration based templates to study the evolution of ant worker neuroanatomyIgnacio Arganda-Carreras, D. G. Gordon, S. Arganda, M. Beaudoin, J. F. A. Traniello. 429-432 [doi]
• Coherent temporal extrapolation of labeled imagesGrégoire Malandain, Gael Michelin. 433-436 [doi]
• M-net: A Convolutional Neural Network for deep brain structure segmentationRaghav Mehta, Jayanthi Sivaswamy. 437-440 [doi]
• Simple domain adaptation for cross-dataset analyses of brain MRI dataChristoph Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl. 441-445 [doi]
• Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse codingJie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang. 446-450 [doi]
• Structural connectome validation using pairwise classificationDmitry Petrov, Boris Gutman, Alexander Ivanov, Joshua Faskowitz, Neda Jahanshad, Mikhail Belyaev, Paul Thompson. 451-455 [doi]
• Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithmXiao Zheng, Jun Shi, Qi Zhang, Shihui Ying, Yan Li. 456-459 [doi]
• Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in AutismBrandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson. 460-463 [doi]
• Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposureGowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo. 464-467 [doi]
• Multisubject fMRI data analysis via two dimensional multi-set canonical correlation analysisNandakishor Desai, Abd-Krim Seghouane, Marimuthu Palaniswami. 468-471 [doi]
• Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variationYounes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville. 472-475 [doi]
• Parameter selection for optimized non-local means filtering of task fMRIJian Li, Richard M. Leahy. 476-480 [doi]
• Voxel-wise correspondence of cone-beam computed tomography images by cascaded randomized forestYuru Pei, Yunai Yi, Gui Chen, Tianmin Xu, Hongbin Zha, Gengyu Ma. 481-484 [doi]
• A novel framework for groupwise registration of fMRI images based on common functional networksYu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu. 485-489 [doi]
• Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registrationPierre-Henri Conze, F. Tilquin, Vincent Noblet, F. Rousseau, Fabrice Heitz, Patrick Pessaux. 490-493 [doi]
• JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markersChristopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc Levenston, Andreas K. Maier. 494-497 [doi]
• A simple respiratory motion analysis method for chest tomosynthesisHua Zhang 0007, Xi Tao, Genggeng Qin, Jianhua Ma, Qianjin Feng, Wufan Chen. 498-501 [doi]
• Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptomsBenjamin 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. 502-506 [doi]
• High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentationLiang Sun, Wei Shao, Daoqiang Zhang. 507-510 [doi]
• Detecting functional modules of the brain using eigen value decomposition of the signless LaplacianXiuchao Sui, Shaohua Li, Jagath C. Rajapakse. 511-514 [doi]
• Fitting networks models for functional brain connectivityJagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui. 515-519 [doi]
• Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distanceWen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang. 520-524 [doi]
• Brain geometry persistent homology marker for Parkinson's diseaseAmanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg. 525-528 [doi]
• ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI studyMuhammad Naveed Iqbal Qureshi, Hang Joon Jo, Boreom Lee. 529-532 [doi]
• Predicting cortical 3-hinge locations via structural connective featuresXiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo 0002, Tianming Liu. 533-537 [doi]
• An optical flow-based approach for the interpolation of minimally divergent velocimetry dataBerkay Kanberoglu, Priya Nair, David Frakes. 538-542 [doi]
• Image reconstruction in computed tomography using variance-reduced stochastic gradient descentDavood Karimi, Rabab K. Ward. 543-547 [doi]
• Constrained modeling for image reconstruction in the application of Electrical Impedance Tomography to the headTaweechai Ouypornkochagorn. 548-551 [doi]
• Domain specific convolutional neural nets for detection of architectural distortion in mammogramsRami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul. 552-556 [doi]
• Automatic detection of aortic dissection in contrast-enhanced CTEhsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood. 557-560 [doi]
• Semi-automatic skin lesion segmentation via fully convolutional networksLei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham. 561-564 [doi]
• Automated multi-stage segmentation of white blood cells via optimizing color processingAfaf Tareef, Yang Song, Dagan Feng, Mei Chen, Weidong Cai. 565-568 [doi]
• Convolutional neural networks for predicting molecular profiles of non-small cell lung cancerDongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian. 569-572 [doi]
• Towards cartilage diagnosis in X-ray phase-contrast interferometryJohannes Bopp, Peter Bartl, Ludwig Ritschl, M. Radicke, Andreas K. Maier, Gisela Anton, Christian Riess. 573-577 [doi]
• Self supervised deep representation learning for fine-grained body part recognitionPengyue Zhang, Fusheng Wang, Yefeng Zheng. 578-582 [doi]
• Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classificationHansang Lee, Helen Hong, Junmo Kim. 583-586 [doi]
• Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsyAfarin Famili, Gowtham Krishnan, Elizabeth M. Davenport, James Germi, Benjamin Wagner, Bradley Lega, Albert Montillo. 587-590 [doi]
• Comparison of different methods for tissue segmentation in histopathological whole-slide imagesPéter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert J. S. Litjens. 591-595 [doi]
• Disease grading of heterogeneous tissue using convolutional autoencoderErwan Zerhouni, Bogdan Prisacari, Qing Zhong, Peter Wild, Maria Gabrani. 596-599 [doi]
• Adapting fisher vectors for histopathology image classificationYang Song, Ju Jia Zou, Hang Chang, Weidong Cai. 600-603 [doi]
• Evaluation of a multi-view autostereoscopic real-time 3D ultrasound system for minimally invasive cardiac surgery guidancePawel Kozlowski, Stig Urheim, Eigil Samset. 604-607 [doi]
• Automatic identification of side branch and main vascular measurements in intravascular optical coherence tomography imagesYihui Cao, Qinhua Jin, Yundai Chen, Qinye Yin, Xianjing Qin, Jianan Li, Rui Zhu, Wei Zhao. 608-611 [doi]
• Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networksTim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin. 612-615 [doi]
• Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiogramsShuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang. 616-619 [doi]
• Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videosSheng Wang, Ashwin Raju, JunZhou Huang. 620-623 [doi]
• Automatic Carotid ultrasound segmentation using deep Convolutional Neural Networks and phase congruency mapsCarl Azzopardi, Yulia A. Hicks, Kenneth P. Camilleri. 624-628 [doi]
• Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopyAritra Chowdhury, Dmitry V. Dylov, Qing Li, Michael MacDonald, Dan E. Meyer, Michael Marino, Alberto Santamaría-Pang. 629-632 [doi]
• Convolutional neural network pruning to accelerate membrane segmentation in electron microscopyJoris Roels, Jonas De Vylder, Jan Aelterman, Yvan Saeys, Wilfried Philips. 633-637 [doi]
• Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRIYohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers. 642-645 [doi]
• Colocalization analysis and particle tracking in multi-channel fluorescence microscopy imagesYu Qiang, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. 646-649 [doi]
• Blood cell detection and counting in holographic lens-free imaging by convolutional sparse dictionary learning and codingFlorence Yellin, Benjamin D. Haeffele, René Vidal. 650-653 [doi]
• Mahalanobis distance for class averaging of cryo-EM imagesTejal Bhamre, Zhizhen Zhao, Amit Singer. 654-658 [doi]
• A novel approach to finger vein authenticationFotios Tagkalakis, Dimitrios Vlachakis, Vasileios Megalooikonomou, Athanassios Skodras. 659-662 [doi]
• Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentationLingyun Wu, Yang Xin, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni. 663-666 [doi]
• Automatic labeling of continuous wave Doppler images based on combined image and sentence networksMehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood. 667-670 [doi]
• Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networksVaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble. 671-674 [doi]
• Apparent backscatter of cancellous bone from fundamental and second harmonics using an ultrasound imaging systemYang Zheng, Xian-long, Craig T. Jin, Ralph Nanan, Alistair McEwan. 675-679 [doi]
• Image-domain non-uniformity correction for cone-beam CTTonghe Wang, Lei Zhu. 680-683 [doi]
• Transcranial enhanced Ultrasound Imaging of induced substantia nigra in brain using adaptive Third Order Volterra Filter: In-vivo resultsJames Cunningham, Justice Lee, Thyagarajan Subramanian, Mohamed Almekkawy. 684-687 [doi]
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• Recurrent neural network based retinal nerve fiber layer defect detection in early glaucomaRashmi Panda, Niladri B. Puhan, Aparna Rao, Debananda Padhy, Ganapati Panda. 692-695 [doi]
• A synthesis-based approach to compressive multi-contrast magnetic resonance imagingAlper Gungor, Emre Kopanoglu, Tolga Çukur, H. Emre Guven. 696-699 [doi]
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• Nuclei segmentation of fluorescence microscopy images using convolutional neural networksChichen Fu, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 704-708 [doi]
• Segmentation of fluorescence microscopy images using three dimensional active contours with inhomogeneity correctionSoonam Lee, Paul Salama, Kenneth W. Dunn, Edward J. Delp. 709-713 [doi]
• Biologically grounded synthetic cerebrovasculature models for validation of segmentation algorithmsMichael R. Nowak, Donghyeop Han, Yoonsuck Choe. 714-717 [doi]
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• Pure-let deconvolution of 3D fluorescence microscopy imagesJizhou Li, Florian Luisier, Thierry Blu. 723-727 [doi]
• Variance stabilization in Poisson image deblurringLucio Azzari, Alessandro Foi. 728-731 [doi]
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• Solving the inclination sign ambiguity in three dimensional Polarized Light Imaging with a PDE-based methodAbib Alimi, Marco Pizzolato, Rutger Henri Jacques Fick, Rachid Deriche. 737-740 [doi]
• Removal of the twin image artifact in holographic lens-free imaging by sparse dictionary learning and codingBenjamin D. Haeffele, Sophie Roth, Lin Zhou, René Vidal. 741-744 [doi]
• Classification of MRI data using deep learning and Gaussian process-based model selectionHadrien Bertrand, Matthieu Perrot, Roberto Ardon, Isabelle Bloch. 745-748 [doi]
• Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRIRuida 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. 749-753 [doi]
• An easy-to-use image labeling platform for automatic magnetic resonance image quality assessmentThomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang. 754-757 [doi]
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• Prostate segmentation in MR images using ensemble deep convolutional neural networksHaozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng. 762-765 [doi]
• Assessing the feasibility of estimating axon diameter using diffusion models and machine learningRutger Henri Jacques Fick, Neda Sepasian, Marco Pizzolato, Andrada Ianus, Rachid Deriche. 766-769 [doi]
• An optimal dimensionality multi-shell sampling scheme with accurate and efficient transforms for diffusion MRIAlice P. Bates, Zubair Khalid, Jason D. McEwen, Rodney A. Kennedy. 770-773 [doi]
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• Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imagingJens Sjölund, Anders Eklund, Evren Özarslan, Hans Knutsson. 778-782 [doi]
• Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and fillingA. Palombit, Marco Castellaro, Massimiliano Calabrese, Chiara Romualdi, Francesca Benedetta Pizzini, S. Montemezzi, Enrico Grisan, Alessandra Bertoldo. 792-795 [doi]
• Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistencyFan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell. 796-799 [doi]
• A deformable model for the reconstruction of the neonatal cortexAndreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes Steinweg, Emer J. Hughes, Lucilio Cordero-Grande, Anthony N. Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert. 800-803 [doi]
• Automatic segmentation of fetal brain using diffusion-weighted imaging cuesRosita Shishegar, Anand A. Joshi, Mary Tolcos, David W. Walker, Leigh A. Johnston. 804-807 [doi]
• Tracking microtubule ends is more than point trackingDenis K. Samuylov, Gábor Székely, Grégory Paul. 808-812 [doi]
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• In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumorsVivien Aubert, Oscar Acosta, Nathalie Rioux-Leclercq, Romain Mathieu, Frederic Commandeur, Renaud de Crevoisier. 818-821 [doi]
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• Automated left ventricle segmentation in 2-D LGE-MRITanja Kurzendorfer, Alexander Brost, Christoph Forman, Andreas Maier. 831-834 [doi]
• Residual and plain convolutional neural networks for 3D brain MRI classificationSergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova. 835-838 [doi]
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• Fast predictive multimodal image registrationXiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer. 858-862 [doi]
• Inter-subject fMRI registration based on functional networksHanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu. 863-867 [doi]
• Adaptive gradient descent optimization of initial momenta for geodesic shooting in diffeomorphismsGreg M. Fleishman, Paul M. Thompson. 868-872 [doi]
• The impact of matching functional on atrophy measurement from geodesic shooting in diffeomorphismsGreg M. Fleishman, Paul M. Thompson. 873-877 [doi]
• Unbiased analysis of mouse social behaviour using unsupervised machine learningOscar Bauer, Anne-Marie Le Sourd, Giacomo Nardi, Thomas Bourgeron, Jean-Christophe Olivo-Marin, Elodie Ey, Fabrice de Chaumont. 878-881 [doi]
• A Vessel Keypoint Detector for junction classificationChetan L. Srinidhi, Priyadarshi Rath, Jayanthi Sivaswamy. 882-885 [doi]
• Proliferative diabetic retinopathy characterization based on the spatial organization of vascular junctions in fundus imagesArgyrios Christodoulidis, Thomas Hurtut, Farida Cheriet. 886-890 [doi]
• Ensemble prediction of longitudinal scores of Alzheimer's disease based on ℓ2, 1-norm regularized correntropy with spatial-temporal constraintWen Hou, Bai Ying Lei, Wenbin Zou, Xia Li, Cishen Zhang. 891-894 [doi]
• Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integrationLei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, Dagan Feng, Guang Ning. 895-898 [doi]
• From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitisEnrico Grisan, Gaia Rizzo, Matteo Tonietto, Alessandro Coran, Bernd Raffeiner, A. Scanu, V. Martini, Roberto Stramare, Ugo Fiocco. 899-902 [doi]
• Comparison of two novel-strategies to obtain sub-pitch resolution in ultrasound elastographySathiyamoorthy S, Arun K. Thittai. 903-906 [doi]
• Sparse emission pattern in spectral blood DopplerRegev Cohen, Yonina C. Eldar. 907-910 [doi]
• Impact of beamforming strategies and regularisation on ultrasound displacement estimation using RF-based image registrationBrecht Heyde, Nick Bottenus, Gregg E. Trahey, Jan D'hooge. 911-915 [doi]
• Three-dimensional image guidance for transcranial focused ultrasound therapyDalong Liu, Kyle Schaible, Walter Low, Emad S. Ebbini. 916-919 [doi]
• Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networksHannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid. 920-923 [doi]
• Wide residual networks for mitosis detectionErwan Zerhouni, David Lanyi, Matheus Viana, Maria Gabrani. 924-928 [doi]
• Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology imagesBabak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck. 929-932 [doi]
• Nuclei segmentation in histopathology images using deep neural networksPeter Naylor, Marick Lae, Fabien Reyal, Thomas Walter. 933-936 [doi]
• Learning size adaptive local maxima selection for robust nuclei detection in histopathology imagesNicolas Brieu, Günter Schmidt 0001. 937-941 [doi]
• Cerebral vascular enhancement using a weighted 3D symmetry filterLingling Luo, Yitian Zhao, Jian Yang, Yalin Zheng, Siyuan Yang, Danni Ai, Yongtian Wang. 942-946 [doi]
• Exploring human brain activation via nested sparse coding and functional operatorsShu Zhang, Xiang Li, Lei Guo 0002, Tianming Liu. 947-951 [doi]
• Group-wise sparse representation of resting-state fMRI data for better understanding of schizophreniaLin Yuan, Tianming Liu, Dewen Hu. 952-956 [doi]
• FMRI data classification based on hybrid temporal and spatial sparse representationHuan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Shu Zhang, Junwei Han, Lei Guo 0002, Tianming Liu. 957-960 [doi]
• A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector MachinesGeorge 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. 961-965 [doi]
• Analysis of ADC model robustness in diffusion-weighted MRISyeda Warda Taqdees, Amanda Ng, David K. Wright, Mary Tolcos, Leigh A. Johnston. 966-969 [doi]
• Case-control discrimination through effective brain connectivityAlessandro Crimi, Luca Dodero, Vittorio Murino, Diego Sona. 970-973 [doi]
• Decoding dynamic auditory attention during naturalistic experienceLiting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu. 974-977 [doi]
• Estimating the level of false positives in detection of microcalcifications in mammogram imagesMaria V. Sainz de Cea, Yongyi Yang. 978-981 [doi]
• Toward automatic diagnosis of hip dysplasia from 2D ultrasoundAbhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko. 982-985 [doi]
• Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imagingZongYuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi. 986-990 [doi]
• Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classificationShashank Tripathi, Seyed Hossein Nozadi, Mahsa Shakeri, Samuel Kadoury. 991-994 [doi]
• A novel CAD system for autism diagnosis using structural and functional MRIO. Dekhil, M. Ismail, Ahmed Shalaby, Andrew E. Switala, Adel Said Elmaghraby, Robert Keynton, Georgy L. Gimel'farb, G. Barnes, Ayman El-Baz. 995-998 [doi]
• Statistics on the space of trajectories for longitudinal data analysisRudrasis Chakraborty, Monami Banerjee, Baba C. Vemuri. 999-1002 [doi]
• Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random FieldsRoger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, D. Nie, D. Shen. 1003-1006 [doi]
• TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian ProcessSarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci. 1007-1010 [doi]
• Event-related potentials Source Separation based on a weak exclusion principleLan Ma, Thierry Blu, William S.-Y. Wang. 1011-1014 [doi]
• HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural networkJingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu. 1019-1023 [doi]
• Classifying histopathology whole-slides using fusion of decisions from deep convolutional network on a collection of random multi-views at multi-magnificationKausik Das, Sri Phani Krishna Karri, Abhijit Guha Roy, Jyotirmoy Chatterjee, Debdoot Sheet. 1024-1027 [doi]
• Automated prostate glandular and nuclei detection using hyperspectral imagingNilgoon Zarei, Amir Bakhtiari, Paul Gallagher, Mira Keys, Calum MacAulay. 1028-1031 [doi]
• 3D reconstruction of vascular structures using graph-based voxel coloringRemi Martin, Etienne Vachon, Joaquim Miró, Luc Duong. 1032-1035 [doi]
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• Hybrid deep autoencoder with Curvature Gaussian for detection of various types of cells in bone marrow trephine biopsy imagesTzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot. 1040-1043 [doi]
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• A convolutional neural network approach for abnormality detection in Wireless Capsule EndoscopyAnjany Kumar Sekuboyina, Surya Teja Devarakonda, Chandra Sekhar Seelamantula. 1057-1060 [doi]
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• PET-only 18F-AV1451 tau quantificationPierrick Bourgeat, Victor L. Villemagne, Vincent Doré, Colin L. Masters, David Ames, C. C. Rowe, Olivier Salvado, Jurgen Fripp. 1173-1176 [doi]
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• Enhancing Bayesian PET image reconstruction using neural networksBao Yang, Leslie Ying, Jing Tang. 1181-1184 [doi]
• 4D reconstruction of cardiac SPECT using a robust spatialtemporal priorChao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King. 1185-1188 [doi]
• 4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splinesG. P. Ralli, D. R. McGowan, Michael A. Chappell, Ricky A. Sharma, G. S. Higgins, J. D. Fenwick. 1189-1192 [doi]
• Super-resolution/segmentation of 3D trabecular bone images with total variation and nonconvex Cahn-Hilliard functionalYufei Li, Bruno Sixou, Andrew Burghardt, Françoise Peyrin. 1193-1196 [doi]
• Semi-automatic teeth segmentation in Cone-Beam Computed Tomography by graph-cut with statistical shape priorsTimothée Evain, Xavier Ripoche, Jamal Atif, Isabelle Bloch. 1197-1200 [doi]
• Computational boundary definition by geodesic graph modelHui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng. 1201-1204 [doi]
• Lung nodule segmentation using deep learned prior based graph cutSuvadip Mukherjee, Xiaojie Huang, Roshni R. Bhagalia. 1205-1208 [doi]
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• Identifying the primary site of origin of MRI brain metastases from lung and breast cancer following a 2D radiomics approachRafael Ortiz-Ramon, Andres Larroza, Estanislao Arana, David Moratal. 1213-1216 [doi]
• 3-D functional brain network classification using Convolutional Neural NetworksDehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu. 1217-1221 [doi]
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• Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learningHaijun Lei, Jian Zhang, Zhang Yang, Ee-Leng Tan, Bai Ying Lei, Qiuming Luo. 1231-1234 [doi]