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ORCIDComputers in Biology and Medicine, Volume 115
Volume 115, December 2019
- Nemanja Rajkovic
, Jelena Ciric, Nebojsa T. Milosevic, Jasna Saponjic:
Novel application of the gray-level co-occurrence matrix analysis in the parvalbumin stained hippocampal gyrus dentatus in distinct rat models of Parkinson's disease. - Luiz Carlos Felix Ribeiro, Luis Claudio Sugi Afonso, João P. Papa:
Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. - Zofia Tylutki, Jakub Szlek, Sebastian Polak:
CardiacPBPK: A tool for the prediction and visualization of time-concentration profiles of drugs in heart tissue. - Muhammed Kamil Turan, Zulal Oner, Yusuf Secgin, Serkan Oner:
A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals. - Michele Scipioni, Maria Filomena Santarelli, Assuero Giorgetti, Vincenzo Positano, Luigi Landini:
Negative binomial maximum likelihood expectation maximization (NB-MLEM) algorithm for reconstruction of pre-corrected PET data. - Enrique J. deAndrés-Galiana, Guillermina Bea, Juan Luis Fernández Martínez, Leo N. Saligan:
Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches. - Yasmina Chenoune, Olena Tankyevych, Fan Li, Michel Piotin, Raphaël Blanc, Eric Petit:
Three-dimensional segmentation and symbolic representation of cerebral vessels on 3DRA images of arteriovenous malformations. - Manish Sharma, Swapnil Singh, Abhishek Kumar, Ru San Tan, U. Rajendra Acharya:
Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features. - Shaopeng Liu, Jiaming Hong, Xu Lu, Xiping Jia, Zhiyong Lin, Ying Zhou, Ye Liu, Heye Zhang:
Joint optic disc and cup segmentation using semi-supervised conditional GANs. - Vincent Carriou, Sofiane Boudaoud, Jérémy Laforêt, Adriana Mendes, Francis Canon, David Guiraud:
Multiscale Hill-type modeling of the mechanical muscle behavior driven by the neural drive in isometric conditions. - Albert Clérigues, Sergi Valverde, José Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó:
Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks. - Mikkel Fly Kragh, Jens Rimestad, Jørgen Berntsen, Henrik Karstoft:
Automatic grading of human blastocysts from time-lapse imaging. - Ali Farghadan, Filippo Coletti, Amirhossein Arzani:
Topological analysis of particle transport in lung airways: Predicting particle source and destination. - Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski:
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. - Amit Kumar Kundu, Shaikh Anowarul Fattah:
Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection. - Yam Meng Chan, E. Y. K. Ng, V. Jahmunah, Joel Koh En Wei, Shu Lih Oh, Leonard Yip Wei Leon, U. Rajendra Acharya:
Automated detection of glaucoma using optical coherence tomography angiogram images. - Ricardo-Antonio Salido-Ruiz, Radu Ranta, Gundars Korats, Steven Le Cam, Laurent Koessler, Valérie Louis-Dorr:
A unified weighted minimum norm solution for the reference inverse problem in EEG. - Mohammad A. Al-Abed, Areen K. Al-Bashir, Ayman Al-Rawashdeh, Raichel M. Alex, Rong Zhang, Donald E. Watenpaugh, Khosrow Behbehani:
Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks. - Farzad Azarmi, Seyedeh Naghmeh Miri Ashtiani, Ahmad Shalbaf, Hamid Behnam, Mohammad Reza Daliri:
Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI. - Franziska Gaidzik, Daniel Stucht, Christoph Roloff, Oliver Speck, Dominique Thévenin, Gábor Janiga:
Transient flow prediction in an idealized aneurysm geometry using data assimilation. - D. Thirumal Kumar, Nikita Jain, Judith Evangeline, Balu Kamaraj, Ramamoorthy Siva, Hatem Zayed, C. George Priya Doss:
A computational approach for investigating the mutational landscape of RAC-alpha serine/threonine-protein kinase (AKT1) and screening inhibitors against the oncogenic E17K mutation causing breast cancer. - Alexis Blasselle, Michaël Théron, Bernard Gardette, Emmanuel Dugrenot:
A new form of admissible pressure for Haldanian decompression models. - Robin Huang, Anthony Nedanoski, David F. Fletcher, Narinder Singh, Jérôme Schmid, Paul M. Young, Nicholas Stow, Lei Bi, Daniela Traini, Eugene Wong, Craig L. Phillips, Ronald R. Grunstein, Jinman Kim:
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography. - Naxin Cai, Houjin Chen, Yanfeng Li, Yahui Peng, Jupeng Li, Xinchun Li:
Reducing non-realistic deformations in registration using precise and reliable landmark correspondences. - Ricardo Abel Espinosa-Loera, Hiram Ponce, Sebastián Gutiérrez, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor:
A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset. - Ning An, Yongbo Xiao, Jing Yuan, Jiaoyun Yang, Gil Alterovitz:
Extracting causal relations from the literature with word vector mapping. - Agathe Houze de l'Aulnoit, Michaël Génin, Samuel Boudet, Romain Demailly, Camille Ternynck, Génia Babykina, Denis Houze de l'Aulnoit, Régis Beuscart:
Use of automated fetal heart rate analysis to identify risk factors for umbilical cord acidosis at birth. - Adam Hilbert, Lucas Alexandre Ramos, Hendrikus J. A. van Os, Sílvia D. Olabarriaga, Manon L. Tolhuisen, Marieke J. H. Wermer, Renan Sales Barros, Irene C. van der Schaaf, Diederik W. J. Dippel, Yvo B. W. E. M. Roos, Wim H. van Zwam, Albert J. Yoo, Bart J. Emmer, Geert J. Lycklama à Nijeholt, Aeilko H. Zwinderman, Gustav J. Strijkers, Charles B. L. M. Majoie, Henk A. Marquering:
Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. - Kishore K. Tarafdar, Bikash K. Pradhan, Suraj Kumar Nayak, Anwesha Khasnobish, Sumit Chakravarty, Sirsendu Sekhar Ray, Kunal Pal:
Data mining based approach to study the effect of consumption of caffeinated coffee on the generation of the steady-state visual evoked potential signals. - Seong-jin Son, Bo-yong Park, Kyoungseob Byeon, Hyunjin Park:
Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks.
- Michiel Schinkel, Ketan Paranjape, Rishi S. Nannan Panday, Niclas Skyttberg, Prabath W. B. Nanayakkara:
Clinical applications of artificial intelligence in sepsis: A narrative review.
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