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ORCID18. MICCAI 2015: Munich, Germany
- Nassir Navab, Joachim Hornegger, William M. Wells III, Alejandro F. Frangi:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9349, Springer 2015, ISBN 978-3-319-24552-2
Advanced MRI: Diffusion, fMRI, DCE
- Xin Yang, Hung Le Minh, Kwang-Ting (Tim) Cheng
, Kyung Hyun Sung, Wenyu Liu:
Automatic Segmentation of Renal Compartments in DCE-MRI Images. 3-11 - Hengameh Mirzaalian, Amicie de Pierrefeu, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix, Marek Kubicki, Carl-Fredrik Westin, Martha Elizabeth Shenton, Yogesh Rathi:
Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. 12-19 - Dogu Baran Aydogan, Yonggang Shi:
Track Filtering via Iterative Correction of TDI Topology. 20-27 - Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes. 28-36 - Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gómez, Axel Haase, Thomas Brox, Daniel Cremers:
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. 37-44 - Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein:
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. 45-52 - Marco Reisert, B. Dihtal, Elias Kellner, Henrik Skibbe, Christoph P. Kaller:
Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation. 53-60 - Hans Knutsson, Magnus Herberthson, Carl-Fredrik Westin:
An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes. 61-68 - Colin J. Brown, Steven P. Miller, Brian G. Booth, Kenneth J. Poskitt, Vann Chau, Anne R. Synnes, Jill G. Zwicker, Ruth E. Grunau, Ghassan Hamarneh:
Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances. 69-76 - Ni Liu, Ahmed Soliman, Georgy L. Gimel'farb, Ayman El-Baz:
Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors. 77-84 - Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. 85-92 - Yao Wu, Wei Yang, Lijun Lu, Zhentai Lu, Liming Zhong, Ru Yang, Meiyan Huang, Yanqiu Feng, Wufan Chen, Qianjin Feng:
Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination. 93-100 - Jalmar Teeuw, Matthan W. A. Caan, Sílvia Delgado Olabarriaga:
Robust Automated White Matter Pathway Reconstruction for Large Studies. 101-108 - Marco Pizzolato, Demian Wassermann, Timothé Boutelier, Rachid Deriche:
Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. 109-116 - Pramod Kumar Pisharady, Julio Martin Duarte-Carvajalino, Stamatios N. Sotiropoulos, Guillermo Sapiro, Christophe Lenglet:
Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI. 117-124 - Xiangyang Wang, Tianhao Zhang, Tiffany M. Chaim, Marcus V. Zanetti, Christos Davatzikos:
Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder. 125-132 - Xi Jiang, Tuo Zhang, Qinghua Zhao, Jianfeng Lu, Lei Guo, Tianming Liu:
Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference. 133-141 - Priya Aggarwal, Anubha Gupta, Ajay Garg:
Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data. 142-149 - Michael Ankele, Thomas Schultz:
Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis. 150-157 - Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? 158-165 - Daan Christiaens, Frederik Maes, Stefan Sunaert, Paul Suetens:
Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images. 166-173 - Jian Cheng, Dinggang Shen, Pew-Thian Yap, Peter J. Basser:
Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. 174-182 - Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. 183-190 - André Reichenbach, Mathias Goldau, Christian Heine, Mario Hlawitschka:
V-Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time. 191-198 - Lorenza Brusini, Silvia Obertino, Mauro Zucchelli, Ilaria Boscolo Galazzo, Gunnar Krueger, Cristina Granziera, Gloria Menegaz:
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke. 199-206 - Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, Claude Comtat, Gaël Varoquaux:
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. 207-214 - Valeriy Vishnevskiy, Christian T. Stoeck, Gábor Székely, Christine Tanner, Sebastian Kozerke:
Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI. 215-222 - Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. 223-230 - Suheyla Cetin, Evren Özarslan, Gözde B. Ünal:
Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model. 231-238 - Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu:
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. 239-246
Computer Assisted and Image-Guided Interventions
- Philip Pratt, Archie Hughes-Hallett, Lin Zhang, Nisha Patel, Erik Mayer, Ara Darzi, Guang-Zhong Yang:
Autonomous Ultrasound-Guided Tissue Dissection. 249-257 - Manikantan Nambi, Paul S. Bernstein, Jake J. Abbott:
A Compact Retinal-Surgery Telemanipulator that Uses Disposable Instruments. 258-265 - Nicola Rieke, David Joseph Tan, Mohamed Alsheakhali, Federico Tombari, Chiara Amat di San Filippo, Vasileios Belagiannis, Abouzar Eslami, Nassir Navab:
Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery. 266-273 - Adrian Schneider, Simon Pezold, Kyung-won Baek, Dilyan Marinov, Philippe C. Cattin:
Direct Calibration of a Laser Ablation System in the Projective Voltage Space. 274-281 - Peter Fischer, Thomas Pohl, Andreas K. Maier, Joachim Hornegger:
Surrogate-Driven Estimation of Respiratory Motion and Layers in X-Ray Fluoroscopy. 282-289 - Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Robust 5DOF Transesophageal Echo Probe Tracking at Fluoroscopic Frame Rates. 290-297 - Robert Frysch, Georg Rose:
Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data. 298-306 - Charles R. Hatt, Michael A. Speidel, Amish N. Raval:
Hough Forests for Real-Time, Automatic Device Localization in Fluoroscopic Images: Application to TAVR. 307-314 - Frank Preiswerk, Matthew Toews, William Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells III, Bruno Madore:
Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. 315-322 - Jessica Magaraggia, Wei Wei, Markus Weiten, Gerhard Kleinszig, Sven Yves Vetter, Jochen Franke, Karl Barth, Elli Angelopoulou, Joachim Hornegger:
A Portable Intra-Operative Framework Applied to Distal Radius Fracture Surgery. 323-330 - Max Allan, Ping-Lin Chang, Sébastien Ourselin, David J. Hawkes, Ashwin Sridhar, John D. Kelly, Danail Stoyanov:
Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow. 331-338 - Daniel Toth, Marcus Pfister, Andreas K. Maier, Markus Kowarschik, Joachim Hornegger:
Adaption of 3D Models to 2D X-Ray Images during Endovascular Abdominal Aneurysm Repair. 339-346 - Ilker Hacihaliloglu, Parmida Beigi, Gary C. Ng, Robert N. Rohling, Septimiu E. Salcudean, Purang Abolmaesumi:
Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound. 347-354 - Bamshad Azizi Koutenaei, Ozgur Guler, Emmanuel Wilson, Matthew Oetgen, Patrick Grimm, Nassir Navab, Kevin Cleary:
Inertial Measurement Unit for Radiation-Free Navigated Screw Placement in Slipped Capital Femoral Epiphysis Surgery. 355-362 - Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy:
Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room. 363-370 - Wenfeng Xia, Efthymios Maneas, Daniil I. Nikitichev, Charles A. Mosse, Gustavo Sato dos Santos, Tom Vercauteren, Anna L. David, Jan Deprest, Sébastien Ourselin, Paul C. Beard, Adrien E. Desjardins:
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries. 371-378 - Yun Zhou, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Automated Segmentation of Surgical Motion for Performance Analysis and Feedback. 379-386 - Bernhard Fuerst, Javad Fotouhi, Nassir Navab:
Vision-Based Intraoperative Cone-Beam CT Stitching for Non-overlapping Volumes. 387-395 - Mohammad Ali Armin, Hans de Visser, Girija Chetty, Cédric Dumas, David Conlan, Florian Grimpen, Olivier Salvado:
Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy. 396-404 - Jianyu Lin, Neil T. Clancy, Danail Stoyanov, Daniel S. Elson:
Tissue Surface Reconstruction Aided by Local Normal Information Using a Self-calibrated Endoscopic Structured Light System. 405-412 - Christoph J. Paulus, Nazim Haouchine, David Cazier, Stéphane Cotin:
Surgical Augmented Reality with Topological Changes. 413-420 - Shaohua Wan, Shanhui Sun, Subhabrata Bhattacharya, Stefan Kluckner, Alexander Gigler, Elfriede Simon, Maximilian Fleischer, Patra Charalampaki, Terrence Chen, Ali Kamen:
Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology. 421-429 - Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Mark A. Clements, Irfan A. Essa:
Automated Assessment of Surgical Skills Using Frequency Analysis. 430-438 - Ingmar Voigt, Mihai Scutaru, Tommaso Mansi, Bogdan Georgescu, Noha El-Zehiry, Helene Houle, Dorin Comaniciu:
Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance. 439-446 - Jessie Mahé, Nicolas Linard, Marzieh Kohandani Tafreshi, Tom Vercauteren, Nicholas Ayache, François Lacombe, Rémi Cuingnet:
Motion-Aware Mosaicing for Confocal Laser Endomicroscopy. 447-454 - Gustavo Sato dos Santos, Efthymios Maneas, Daniil I. Nikitichev, Anamaria Barburas, Anna L. David, Jan Deprest, Adrien E. Desjardins, Tom Vercauteren, Sébastien Ourselin:
A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels. 455-462 - Nicolas Loy Rodas, Fernando Barrera, Nicolas Padoy:
Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization. 463-470 - André Mouton, Menglong Ye, François Lacombe, Guang-Zhong Yang:
Hybrid Retargeting for High-Speed Targeted Optical Biopsies. 471-479 - Gauthier Gras, Hani J. Marcus, Christopher J. Payne, Philip Pratt, Guang-Zhong Yang:
Visual Force Feedback for Hand-Held Microsurgical Instruments. 480-487 - Jianfu Li, Flavio Ferraz, Shunyao Shen, Yi-Fang Lo, Xiaoyan Zhang, Peng Yuan, Zhen Tang, Ken-Chung Chen, Jaime Gateno, Xiaobo Zhou, James J. Xia:
Automated Three-Piece Digital Dental Articulation. 488-496 - Omid Mohareri, Guy Nir, Julio Lobo, Richard Savdie, Peter C. Black, Septimiu Salcudean:
A System for MR-Ultrasound Guidance during Robot-Assisted Laparoscopic Radical Prostatectomy. 497-504
Computer Aided Diagnosis I: Machine Learning
- Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. 507-514 - Hao Chen, Chiyao Shen, Jing Qin, Dong Ni, Lin Shi, Jack Chun Yiu Cheng, Pheng-Ann Heng:
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks. 515-522 - Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert:
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. 523-530 - Gijs van Tulder, Marleen de Bruijne:
Why Does Synthesized Data Improve Multi-sequence Classification? 531-538 - Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. 539-546 - Herve Lombaert, Antonio Criminisi, Nicholas Ayache:
Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation. 547-555 - Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. 556-564 - Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu:
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data. 565-572 - Heung-Il Suk, Seong-Whan Lee, Dinggang Shen:
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. 573-580 - Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge:
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. 581-588 - Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum:
Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks. 589-596 - Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen:
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. 597-604 - Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. 605-612 - Xiaonan Song, Lingnan Meng, Qiquan Shi, Haiping Lu:
Learning Tensor-Based Features for Whole-Brain fMRI Classification. 613-620 - Vimal Chandran, Philippe Zysset, Mauricio Reyes:
Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor. 621-628 - Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh:
Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. 629-636 - Loïc Peter, Olivier Pauly, Pierre Chatelain, Diana Mateus, Nassir Navab:
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. 637-644 - Wenqi Li, Jianguo Zhang, Stephen J. McKenna:
Multiple Instance Cancer Detection by Boosting Regularised Trees. 645-652 - David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers:
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. 653-660 - Anna Kreshuk, Jan Funke, Albert Cardona, Fred A. Hamprecht:
Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain. 661-668 - Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. 669-676 - Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli:
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. 677-684 - Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux:
Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties. 685-693 - Soheil Hor, Mehdi Moradi:
Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. 694-701 - Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. 702-709 - Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu:
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. 710-718 - Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, David E. Vaillancourt, Baba C. Vemuri:
Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis. 719-727
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