Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Neural Network / Biological & Artificial Neural Network / BNN & ANN
Blood Glucose Level Prediction for Type 1 Diabetes using Deep Learning

Seyedeh Sadaf Razavinezhad; Amir mohammad Fallah; Seyed Abolghasem Mirroshandel

Volume 14, Issue 4 , February 2021, , Pages 307-320

  Diabetes is a common disease all around the world. It is a difficult and incurable but controllable disease, so it is important to control and prevent its complications. Thus, low error and smart methods are used to predict blood glucose levels and prevent dangerous complications to control it effectively. ...  Read More

Neural Network / Biological & Artificial Neural Network / BNN & ANN
Prediction of Pulmonary Artery and Peripheral Vascular Pressure based on Echocardiography Data and Artificial Neural Network

Hamed Abbasi; Shahrokh Shojaei; Nasim Naderi

Volume 13, Issue 2 , August 2019, , Pages 105-115

  Today, in order to decide on many cardiac surgeries, and whether the patient is able to get under surgery or the time of surgery is passed, it is necessary to measure pulmonary vascular resistance and if the resistance is above a threshold, the patient is considered to be non-surgery; and sometimes, ...  Read More

Biomedical Image Processing / Medical Image Processing
Semi-automatic segmentation and analysis of GBM brain tumors in magnetic resonance images

Neda Behzadfar; Hamid Soltanian Zadeh

Volume 7, Issue 3 , June 2013, , Pages 219-236

  Segmentation of tumors in magnetic resonance images is an important task. However, it is quite time consuming and has low accuracy and reproducibility when performed manually. Automating the process is challenging, due to high diversity in appearance of tumor tissue in different patients and in many ...  Read More

Neuro-Muscular Engineering
Kinematical Modeling of the Writing Process using Model Predictive Control

Mehdi Borjkhani; Farzad Towhidkhah

Volume 4, Issue 2 , June 2010, , Pages 109-122

  Writing is one of the high practiced and complex movement skills of human. Most of the proposed models for writing are bottom-up models, and therefore they could not reflect the biological aspects of movements in this process. Also there is not any model for illustrating the role of different parts of ...  Read More

Biological Computer Modeling / Biological Computer Simulation
Classification And Prediction Of Neonatal Jaundice Using Neural Networks

Azade Ahouraei; Farzad Towhidkhah; Fateme Haji Ebrahim Tehrani; Rasoul Khayati

Volume 1, Issue 1 , June 2007, , Pages 63-69

  Jaundice (hyperbilirubinemia) is a common disease in newborn babies. Under certain circumstances, elevated bilirubin levels may have detrimental neurological effects. In some cases, phototherapy is needed to lower the level of total serum bilirubin, which indicates the presence and severity of jaundice. ...  Read More