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ORCID20. MICCAI 2017: Quebec City, QC, Canada
- Maxime Descoteaux, Lena Maier-Hein, Alfred M. Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10434, Springer 2017, ISBN 978-3-319-66184-1
Optical Imaging
- Markus Rempfler, Sanjeev Kumar, Valentin Stierle, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze
:
Cell Lineage Tracing in Lens-Free Microscopy Videos. 3-11 - Mihoko Shimano, Ryoma Bise, Yinqiang Zheng, Imari Sato:
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy. 12-20 - Jianxu Chen, Sreya Banerjee, Abhinav Grama, Walter J. Scheirer, Danny Z. Chen:
Neuron Segmentation Using Deep Complete Bipartite Networks. 21-29 - Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang:
Cell Encoding for Histopathology Image Classification. 30-38 - Jianyu Lin, Neil T. Clancy, Yang Hu, Ji Qi, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson:
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging. 39-47 - Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani:
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. 48-55 - Yunxiang Mao, Zhaozheng Yin:
Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images. 56-64 - Liang Han, Zhaozheng Yin:
Refocusing Phase Contrast Microscopy Images. 65-74 - Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi:
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. 75-82 - Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Andreas K. Maier:
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data. 83-91 - Chenchen Li, Xiaowei Li, Hongji Cao, He Jiang, Xiaotie Deng, Danny Z. Chen, Lin Yang, Zhifeng Shao:
Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging. 92-99 - Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov:
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition. 100-108 - Benjamin D. Haeffele, Richard Stahl, Geert Vanmeerbeeck, René Vidal:
Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery. 109-117 - Faten M'hiri, Claudia Chevrefils, Jean-Philippe Sylvestre:
Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features. 118-125 - Martin Weigert, Loïc Royer, Florian Jug, Gene Myers:
Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. 126-134 - Larissa Heinrich, John A. Bogovic, Stephan Saalfeld:
Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy. 135-143 - Akif Burak Tosun, Luong Nguyen, Nathan Ong, Olga Navolotskaia, Gloria Carter, Jeffrey L. Fine, D. Lansing Taylor, S. Chakra Chennubhotla:
Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images. 144-152 - Jianfei Liu, Haewon Jung, Johnny Tam:
Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images. 153-161
Airway and Vessel Analysis
- Agata Mosinska, Jakub Tarnawski, Pascal Fua:
Active Learning and Proofreading for Delineation of Curvilinear Structures. 165-173 - Luis Álvarez, Agustín Trujillo-Pino, Carmelo Cuenca, Esther González, Julio Esclarín, Luis Gómez, Luis Mazorra, Miguel Alemán-Flores, Pablo G. Tahoces, José M. Carreira-Villamor:
Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections. 174-181 - Mali Shen, Stamatia Giannarou, Pallav L. Shah, Guang-Zhong Yang:
BRANCH: Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics. 182-189 - David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin:
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images. 190-197 - Qier Meng, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Junji Ueno, Kensaku Mori:
Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network. 198-207 - Xingce Wang, Yue Liu, Zhongke Wu, Xiao Mou, Mingquan Zhou, Miguel Ángel González Ballester, Chong Zhang:
Automatic Labeling of Vascular Structures with Topological Constraints via HMM. 208-215 - Matthieu Giroux, Hamid Ladjal, Michael Beuve, Behzad Shariat:
Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance. 216-223 - Pietro Nardelli, James C. Ross, Raúl San José Estépar:
CT Image Enhancement for Feature Detection and Localization. 224-232 - Jose M. Pozo, Arjan J. Geers, Alejandro F. Frangi:
Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index. 233-241 - Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths. 242-250
Motion and Cardiac Analysis
- Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert:
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. 253-260 - Christoph Jud, Alina Giger, Robin Sandkühler, Philippe C. Cattin:
A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration. 261-269 - Xin Chen, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King:
Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. 270-278 - Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Ben A. Lin, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. 279-286 - Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. 287-295 - Benjamin Hou, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. 296-304 - Yuan Gao, J. Alison Noble:
Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks. 305-313 - Juan Eugenio Iglesias, Garikoitz Lerma-Usabiaga, Luis C. García-Peraza-Herrera, Sara Martinez, Pedro M. Paz-Alonso:
Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs. 314-322 - Allen Lu, Maria Zontak, Nripesh Parajuli, John C. Stendahl, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis. 323-331 - Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King:
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. 332-340 - Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. 341-349 - Roch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob A. Hauser, Dilveer Panesar, Alexander Jones, Andrew Mayall Taylor, Marcus Kelm, Titus Kühne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, Maxime Sermesant:
Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. 350-358 - Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu:
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. 359-367 - Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt:
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. 368-376 - Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci:
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN. 377-385 - A. Jonathan McLeod, Dante P. I. Capaldi, John S. H. Baxter, Grace Parraga, Xiongbiao Luo, Terry M. Peters:
Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling. 386-393
Tumor Processing
- Zhenyu Tang, Yue Cui, Bo Jiang:
Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery. 397-405 - Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang:
Deep Correlational Learning for Survival Prediction from Multi-modality Data. 406-414 - Carlo Seppi, Uri Nahum, Peter A. von Niederhäusern, Simon Pezold, Michael Rissi, Stephan K. Haerle, Philippe C. Cattin:
Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy. 415-423 - Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Personalized Pancreatic Tumor Growth Prediction via Group Learning. 424-432 - Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. 433-441 - Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi:
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. 442-449 - Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen:
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. 450-458 - Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari:
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. 459-467 - Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath:
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. 468-476
Planning and Simulation for Medical Interventions
- Antonio R. Porras, Beatriz Paniagua, Andinet Enquobahrie, Scott Ensel, Hina Shah, Robert T. Keating, Gary F. Rogers, Marius George Linguraru:
Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery. 479-487 - Fabio Carrillo, Lazaros Vlachopoulos, Andreas Schweizer, Ladislav Nagy, Jess Gerrit Snedeker, Philipp Fürnstahl:
A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies. 488-496 - Vivek Kumar Singh, Kai Ma, Birgi Tamersoy, Yao-Jen Chang, Andreas Wimmer, Thomas O'Donnell, Terrence Chen:
DARWIN: Deformable Patient Avatar Representation With Deep Image Network. 497-504 - Thomas Kurmann, Pablo Márquez-Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman:
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery. 505-513 - Rene M. Lacher, Francisco Vasconcelos, David Bishop, Norman R. Williams, Mohammed Keshtgar, David J. Hawkes, John H. Hipwell, Danail Stoyanov:
A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment. 514-522 - Nazim Haouchine, Danail Stoyanov, Frédérick Roy, Stephane Cotin:
DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal. 523-531 - Nadia Möri, Laura Gui, Christoph Jud, Orane Lorton, Rares Salomir, Philippe C. Cattin:
An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning. 532-539 - Philipp Stefan, Séverine Habert, Alexander Winkler, Marc Lazarovici, Julian Fürmetz, Ulrich Eck, Nassir Navab:
A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery. 540-547 - Igor Peterlík, Nazim Haouchine, Lukás Rucka, Stéphane Cotin:
Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation. 548-556 - Josephine Granna, Arya Nabavi, Jessica Burgner-Kahrs:
Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot. 557-565 - Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey:
Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. 566-574
Interventional Imaging and Navigation
- Pierre Ambrosini, Daniel Ruijters, Wiro J. Niessen, Adriaan Moelker, Theo van Walsum:
Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy. 577-585 - Ivan Aksamentov, Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos. 586-593 - Francois Parent, Maxime Gerard, Raman Kashyap, Samuel Kadoury:
UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures. 594-601 - Uditha L. Jayarathne, John Moore, Elvis C. S. Chen, Stephen E. Pautler, Terry M. Peters:
Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy. 602-609 - Arash Pourtaherian, Farhad Ghazvinian Zanjani, Svitlana Zinger, Nenad Mihajlovic, Gary C. Ng, Hendrikus H. M. Korsten, Peter H. N. de With:
Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks. 610-618 - Lin Zhang, Menglong Ye, Stamatia Giannarou, Philip Pratt, Guang-Zhong Yang:
Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound. 619-627 - Raphael Prevost, Mehrdad Salehi, Julian Sprung, Alexander Ladikos, Robert Bauer, Wolfgang Wein:
Deep Learning for Sensorless 3D Freehand Ultrasound Imaging. 628-636 - Wenfeng Xia, Sacha Noimark, Sébastien Ourselin, Simeon J. West, Malcolm C. Finlay, Anna L. David, Adrien E. Desjardins:
Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery. 637-645 - Jiannan Zheng, Shun Miao, Rui Liao:
Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images. 646-654 - Sarah Latus, Christoph Otte, Matthias Schlüter, Josua Rehra, Kevin Bizon, Hinnerk Schulz-Hildebrandt, Thore Saathoff, Gereon Hüttmann, Alexander Schlaefer:
An Approach for Needle Based Optical Coherence Elastography Measurements. 655-663 - Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. 664-672 - Sasan Matinfar, M. Ali Nasseri, Ulrich Eck, Hessam Roodaki, Navid Navab, Chris P. Lohmann, Mathias Maier, Nassir Navab:
Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures. 673-681 - Mehrdad Salehi, Raphael Prevost, José Luis Moctezuma, Nassir Navab, Wolfgang Wein:
Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration. 682-690 - Benjamin Aubert, P. A. Vidal, Stefan Parent, Thierry Cresson, Carlos Vázquez, Jacques A. de Guise:
Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs. 691-699
Medical Image Computing
- Samineh Mesbah, Ahmed Shalaby, Sean Stills, Ahmed Soliman, Andrea Willhite, Susan Harkema, Enrico Rejc, Ayman El-Baz:
A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue. 703-711 - Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Michaël Sdika, Julien Cohen-Adad:
OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization. 712-719 - Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. 720-728 - Moo K. Chung, Ying Ji Chuang, Houri K. Vorperian:
Online Statistical Inference for Large-Scale Binary Images. 729-736 - Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. 737-744 - Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang:
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. 745-753 - James Fishbaugh, Marcel Prastawa, Bo Wang, Patrick Reynolds, Stephen R. Aylward, Guido Gerig:
Data-Driven Rank Aggregation with Application to Grand Challenges. 754-762 - Hennadii Madan, Franjo Pernus, Ziga Spiclin:
Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard. 763-771
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