Computer Methods and Programs in Biomedicine, Volume 177

Volume 177, August 2019

Section III: Modelling & Simulation

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  Xuan Anh Nguyen, Damir Ljuhar, Maurizio Pacilli, Ramesh Mark Nataraja, Sunita Chauhan:
  Surgical skill levels: Classification and analysis using deep neural network model and motion signals. 1-8
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  Sabrina Mezzatesta, Claudia Torino, Pasquale De Meo, Giacomo Fiumara, Antonio Vilasi:
  A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis. 9-15

Section II: Biomedical signal and image processing methods

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  Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
  Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture. 17-30
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  Mariusz Krej, Paulina Baran, Lukasz Dziuda:
  Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor. 31-38

Section IV: Classification and interpretation

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  Kuan Wang, Lejun Wang, Zhen Deng, Chenghua Jiang, Wenxin Niu, Ming Zhang:
  Influence of passive elements on prediction of intradiscal pressure and muscle activation in lumbar musculoskeletal models. 39-46

Section II: Biomedical signal and image processing methods

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  Marko Rak, Johannes Steffen, Anneke Meyer, Christian Hansen, Klaus-Dietz Tönnies:
  Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI. 47-56

Section IV: Classification and interpretation

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  Tasawar Hayat, Sohail A. Khan, Muhammad Ijaz Khan, Ahmed Alsaedi:
  Theoretical investigation of Ree-Eyring nanofluid flow with entropy optimization and Arrhenius activation energy between two rotating disks. 57-68

Section II: Biomedical signal and image processing methods

• 
  Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Muhammad Almas Anjum:
  Brain tumor detection using statistical and machine learning method. 69-79

Section III: Modelling & Simulation

• 
  Nguyen-Quoc-Khanh Le, Tuan-Tu Huynh, Edward Kien Yee Yapp, Hui-Yuan Yeh:
  Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles. 81-88
• 
  Mohamed Hosni, Ibtissam Abnane, Ali Idri, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán:
  Reviewing ensemble classification methods in breast cancer. 89-112

Section II: Biomedical signal and image processing methods

• 
  Lucas Lo Vercio, Mariana del Fresno, Ignacio Larrabide:
  Lumen-intima and media-adventitia segmentation in IVUS images using supervised classifications of arterial layers and morphological structures. 113-121
• 
  Francisco Javier Pérez-Benito, François Signol, Juan-Carlos Perez-Cortes, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Inmaculada Martínez, Rafael Llobet:
  Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts. 123-132

Section IV: Classification and interpretation

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  Magdalena Ogluszka, Magdalena Orzechowska, Dorota Jedroszka, Piotr Witas, Andrzej K. Bednarek:
  Evaluate Cutpoints: Adaptable continuous data distribution system for determining survival in Kaplan-Meier estimator. 133-139

Section I: Biocybernetics and Big Data

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  Jinmiao Huang, Cesar Osorio, Luke Wicent Sy:
  An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes. 141-153

Section IV: Classification and interpretation

• 
  Pei-Chen Lin, Hsu-Cheng Huang, Matthieu Komorowski, Wei-Kai Lin, Chun-Min Chang, Kuan-Ta Chen, Yu-Chuan Li, Ming-Chin Lin:
  A machine learning approach for predicting urine output after fluid administration. 155-159

Section II: Biomedical signal and image processing methods

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  Darius Dirvanauskas, Rytis Maskeliunas, Vidas Raudonis, Robertas Damasevicius:
  Embryo development stage prediction algorithm for automated time lapse incubators. 161-174

Section V: Others

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  Chia-Hung Chen, Yan-Wei Lee, Yao-Sian Huang, Wei-Ren Lan, Ruey-Feng Chang, Chih-Yen Tu, Chih-Yu Chen, Wei-Chih Liao:
  Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network. 175-182

Section III: Modelling & Simulation

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  Dongdong Kong, Junjiang Zhu, Shangshi Wu, Chaoqun Duan, Lixin Lu, Dongxing Chen:
  A novel IRBF-RVM model for diagnosis of atrial fibrillation. 183-192

Section II: Biomedical signal and image processing methods

• 
  Naresh Sundar Rajan, Ramkiran Gouripeddi, Peter Mo, Randy Madsen, Julio C. Facelli:
  Towards a content agnostic computable knowledge repository for data quality assessment. 193-201

Section IV: Classification and interpretation

• 
  Hamidreza Mortazavy Beni, Kamran Hassani, Siamak Khorramymehr:
  In silico investigation of sneezing in a full real human upper airway using computational fluid dynamics method. 203-209

Section I: Biocybernetics and Big Data

• 
  Juan J. Diaz-Montana, Norberto Díaz-Díaz, Carlos D. Barranco, Ignacio Ponzoni:
  Development and use of a Cytoscape app for GRNCOP2. 211-218

Section III: Modelling & Simulation

• 
  Nahúm Cueto-López, María Teresa García-Ordás, Verónica Dávila-Batista, Víctor Moreno, Nuria Aragonés, Rocío Alaíz-Rodríguez:
  A comparative study on feature selection for a risk prediction model for colorectal cancer. 219-229

Section II: Biomedical signal and image processing methods

• 
  Elias Ebrahimzadeh, Mohammad Shams, Farahnaz Fayaz, Lila Rajabion, Mahya Mirbagheri, Babak Nadjar Araabi, Hamid Soltanian-Zadeh:
  Quantitative determination of concordance in localizing epileptic focus by component-based EEG-fMRI. 231-241

Section IV: Classification and interpretation

• 
  Álvaro Martínez, Alba García-Santos, Nerea Ballesteros, Manuel Desco, Mónica Abella:
  XAP-Lab: A software tool for designing flexible X-ray acquisition protocols. 243-252

Section II: Biomedical signal and image processing methods

• 
  Haritha Sallepalli Venkata, Abeer Alsadoon, P. W. C. Prasad, Omar Hisham Alsadoon, Sami Haddad, Anand Deva, Jeremy Hsu:
  A novel mixed reality in breast and constructive jaw surgical tele-presence. 253-268

Section IV: Classification and interpretation

• 
  P. Sfumato, Thomas Filleron, R. Giorgi, Richard J. Cook, Jean-Marie Boher:
  Goftte: A R package for assessing goodness-of-fit in proportional (sub) distributions hazards regression models. 269-275

Section II: Biomedical signal and image processing methods

• 
  Ghasem Sadeghi Bajestani, Mahboobe Behrooz, Adel Ghazikhani, Mostafa Nouri Baygi, Ali Mollaei:
  Diagnosis of autism spectrum disorder based on complex network features. 277-283
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  Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Giovanni Lucca França da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
  An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks. 285-296