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ORCIDMedical Image Analysis, Volume 48
Volume 48, August 2018
- Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li
:
Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net. 1-11 - Nicola Amoroso, Marianna La Rocca, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro:
Complex networks reveal early MRI markers of Parkinson's disease. 12-24 - Evan Schwab, René Vidal, Nicolas Charon:
Joint spatial-angular sparse coding for dMRI with separable dictionaries. 25-42 - Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang:
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. 43-57 - Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie:
Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images. 58-74 - Yongchao Xu, Baptiste Morel, Sonia Dahdouh, Élodie Puybareau, Alessio Virzi, Hélène Urien, Thierry Géraud, Catherine Adamsbaum, Isabelle Bloch:
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities. 75-94 - Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks. 95-106 - Emran Mohammad Abu Anas, Parvin Mousavi, Purang Abolmaesumi:
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy. 107-116 - Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert:
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. 117-130 - Franziska Schirrmacher, Thomas Köhler, Jürgen Endres, Tobias Lindenberger, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Arnd Dörfler, Philip Hoelter, Andreas K. Maier:
Temporal and volumetric denoising via quantile sparse image prior. 131-146 - Markus Rempfler, Valentin Stierle, Konstantin Ditzel, Sanjeev Kumar, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze:
Tracing cell lineages in videos of lens-free microscopy. 147-161 - Jianyu Lin, Neil T. Clancy, Ji Qi, Yang Hu, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson:
Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks. 162-176 - Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó:
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. 177-186 - Raphael Prevost, Mehrdad Salehi, Simon Jagoda, Navneet Kumar, Julian Sprung, Alexander Ladikos, Robert Bauer, Oliver Zettinig, Wolfgang Wein:
3D freehand ultrasound without external tracking using deep learning. 187-202 - Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu:
Towards intelligent robust detection of anatomical structures in incomplete volumetric data. 203-213 - Jana Hutter, Daan Christiaens, Torben Schneider, Lucilio Cordero-Grande, Paddy Slator, Maria Deprez, Anthony N. Price, Jacques-Donald Tournier, Mary A. Rutherford, Joseph V. Hajnal:
Slice-level diffusion encoding for motion and distortion correction. 214-229 - Faisal Mahmood, Nicholas J. Durr:
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. 230-243 - Ilwoo Lyu, Sun Hyung Kim, Jessica B. Girault, John H. Gilmore, Martin A. Styner:
A cortical shape-adaptive approach to local gyrification index. 244-258 - Maxime Descoteaux, Lena Maier-Hein, Alfred M. Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne:
Special Issue on MICCAI 2017. 259
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