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ORCIDMedical Image Analysis, Volume 42
Volume 42, December 2017
- Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello
, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. 1-13 - Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu:
Gyral net: A new representation of cortical folding organization. 14-25 - Ricardo Coronado-Leija, Alonso Ramirez-Manzanares, José L. Marroquín:
Estimation of individual axon bundle properties by a Multi-Resolution Discrete-Search method. 26-43 - Eli Gibson, Yipeng Hu, Henkjan J. Huisman, Dean C. Barratt:
Designing image segmentation studies: Statistical power, sample size and reference standard quality. 44-59 - Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez:
A survey on deep learning in medical image analysis. 60-88 - Florent Grélard, Fabien Baldacci, Anne Vialard, Jean-Philippe Domenger:
New methods for the geometrical analysis of tubular organs. 89-101 - Pedro Morais, João L. Vilaça, Sandro F. Queiros, Felix Bourier, Isabel Deisenhofer, João Manuel R. S. Tavares, Jan D'hooge:
A competitive strategy for atrial and aortic tract segmentation based on deformable models. 102-116 - Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang:
Supervised graph hashing for histopathology image retrieval and classification. 117-128 - Thomas Kustner, Martin Schwartz, Petros Martirosian, Sergios Gatidis, Ferdinand Seith, Christopher Gilliam, Thierry Blu, Hadi Fayad, Dimitris Visvikis, Fritz Schick, Bin Yang, Holger Schmidt, Nina F. Schwenzer:
MR-based respiratory and cardiac motion correction for PET imaging. 129-144 - Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin-Raviv:
Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences. 145-159 - Daniel Toth, Maria Panayiotou, Alexander Brost, Jonathan M. Behar, Christopher Aldo Rinaldi, Kawal S. Rhode, Peter Mountney:
3D/2D Registration with superabundant vessel reconstruction for cardiac resynchronization therapy. 160-172 - André Mastmeyer, Guillaume Pernelle, Ruibin Ma, Lauren Barber, Tina Kapur:
Accurate model-based segmentation of gynecologic brachytherapy catheter collections in MRI-images. 173-188 - Veronika A. M. Zimmer, Ben Glocker, Nadine Hahner, Elisenda Eixarch, Gerard Sanromá, Eduard Gratacós, Daniel Rueckert, Miguel Ángel González Ballester, Gemma Piella:
Learning and combining image neighborhoods using random forests for neonatal brain disease classification. 189-199 - Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu:
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. 200-211 - Xin Yang, Chaoyue Liu, Zhiwei Wang, Jun Yang, Hung Le Minh, Liang Wang, Kwang-Ting (Tim) Cheng:
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI. 212-227 - Priya Aggarwal, Anubha Gupta, Ajay Garg:
Multivariate brain network graph identification in functional MRI. 228-240 - Yakui Chu, Jian Yang, Shaodong Ma, Danni Ai, Wenjie Li, Hong Song, Liang Li, Duanduan Chen, Lei Chen, Yongtian Wang:
Registration and fusion quantification of augmented reality based nasal endoscopic surgery. 241-256 - Dehui Xiang, Ulas Bagci, Chao Jin, Fei Shi, Weifang Zhu, Jianhua Yao, Milan Sonka, Xinjian Chen:
CorteXpert: A model-based method for automatic renal cortex segmentation. 257-273 - Oualid M. Benkarim, Gemma Piella, Miguel Ángel González Ballester, Gerard Sanroma:
Discriminative confidence estimation for probabilistic multi-atlas label fusion. 274-287 - Chuyang Ye:
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework. 288-299
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