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Computers in Biology and Medicine, Volume 111
Volume 111, August 2019
- Zachary S. Hostetler, Joel D. Stitzel, Ashley A. Weaver:
Comparing rib cortical thickness measurements from computed tomography (CT) and Micro-CT. - Jiaming Qiu, Yankui Sun:
Self-supervised iterative refinement learning for macular OCT volumetric data classification. - Hanieh Bakhshayesh, Sean P. Fitzgibbon, Azin S. Janani, Tyler S. Grummett, Kenneth J. Pope:
Detecting connectivity in EEG: A comparative study of data-driven effective connectivity measures. - Ashish Issac, Arti Srivastava, Ashutosh Srivastava, Malay Kishore Dutta:
An automated computer vision based preliminary study for the identification of a heavy metal (Hg) exposed fish-channa punctatus. - Lukas Dankl, Agnes Mayr, Gerhard Kaufmann, Martin Thaler, Michael Nogler, David Putzer:
Measuring bone defects for acetabular revision surgery for choosing an appropriate reconstruction strategy: A concept study on plastic models. - Mehrshad Sadria, Soroush Karimi, Anita T. Layton:
Network centrality analysis of eye-gaze data in autism spectrum disorder. - Jinxiong Zhang, Cheng Zhong, Yiran Huang, Hai-Xiang Lin, Mian Wang:
A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks. - Yoon-Chul Kim, Khu Rai Kim, Kwanghee Choi, Minwoo Kim, Younjoon Chung, Yeon Hyeon Choe:
EVCMR: A tool for the quantitative evaluation and visualization of cardiac MRI data. - Jose Kunnel Paul, Thomas Iype, Dileep R, Yuki Hagiwara, Joel E. W. Koh, U. Rajendra Acharya:
Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features. - Samuel Voß, Oliver Beuing, Gábor Janiga, Philipp Berg:
Stent-induced vessel deformation after intracranial aneurysm treatment - A hemodynamic pilot study. - Jinny Lee, Rebecca E. Thornhill, Pablo Nery, Robert A. deKemp, Elena Peña, David Birnie, Andy Adler, Eranga Ukwatta:
Left atrial imaging and registration of fibrosis with conduction voltages using LGE-MRI and electroanatomical mapping. - Navid Mohaghegh, Ebrahim Ghafar-Zadeh, Sebastian Magierowski:
NGRID: A novel platform for detection and progress assessment of visual distortion caused by macular disorders. - Jason Riordon, Christopher McCallum, David Sinton:
Deep learning for the classification of human sperm. - Elham Karimi, Lucie Ménard, Catherine Laporte:
Fully-automated tongue detection in ultrasound images. - Nathalie Grafféo, Aurélien Latouche, Christophe Le Tourneau, Sylvie Chevret:
ipcwswitch: An R package for inverse probability of censoring weighting with an application to switches in clinical trials. - Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Color normalization of faded H&E-stained histological images using spectral matching. - S. Deepak, P. M. Ameer:
Brain tumor classification using deep CNN features via transfer learning. - Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
Detecting mitotic cells in HEp-2 images as anomalies via one class classifier. - Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Saeed Setayeshi, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim:
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. - Mohamed Gouse Jushiddi, John J. Mulvihill, Drahomir Chovan, Aladin Mani, Camelia Shanahan, Christophe Silien, Syed Ansar Md Tofail, Peter Tiernan:
Simulation of biopsy bevel-tipped needle insertion into soft-gel. - Md Tauhidul Islam, Raffaella Righetti:
Estimation of mechanical parameters in cancers by empirical orthogonal function analysis of poroelastography data. - Ariane Saliani, Alena Tsikhanovich, Vincent Jacquemet:
Visualization of interpolated atrial fiber orientation using evenly-spaced streamlines. - Peng Tang, Qiaokang Liang, Xintong Yan, Dan Zhang, Gianmarc Coppola, Wei Sun:
Multi-proportion channel ensemble model for retinal vessel segmentation. - Opeyemi S. Soremekun, Mahmoud E. S. Soliman:
From genomic variation to protein aberration: Mutational analysis of single nucleotide polymorphism present in ULBP6 gene and implication in immune response. - Katsuhiro Ichikawa, Hiroki Kawashima, Masato Shimada, Toshiki Adachi, Tadanori Takata:
A three-dimensional cross-directional bilateral filter for edge-preserving noise reduction of low-dose computed tomography images. - Roberto Rosas-Romero, Edgar Guevara, Ke Peng, Dang Khoa Nguyen, Frédéric Lesage, Philippe Pouliot, Wassim-Enrique Lima-Saad:
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals. - Timothy Cogan, Maribeth Cogan, Lakshman Tamil:
MAPGI: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning. - Wenjun Yan, Yuanyuan Wang, Rob J. van der Geest, Qian Tao:
Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension. - Alberto Montolío, José Cegoñino, Elvira Orduna, Berta Sebastian, Elena Garcia-Martin, Amaya Pérez del Palomar:
A mathematical model to predict the evolution of retinal nerve fiber layer thinning in multiple sclerosis patients.
- Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review.
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