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ORCIDBiomedical Signal Processing and Control, Volume 54
Volume 54, September 2019
- Jesús Emmanuel Solís Pérez
, José Francisco Gómez-Aguilar, Ricardo Fabricio Escobar-Jiménez, Juan Reyes-Reyes:
Blood vessel detection based on fractional Hessian matrix with non-singular Mittag-Leffler Gaussian kernel. - Sameera V. Mohd Sagheer, Sudhish N. George, Sudeep Koshy Kurien:
Despeckling of 3D ultrasound image using tensor low rank approximation. - Abbas Memis, Songül Varli, Fuat Bilgili:
Computerized 2D detection of the multiform femoral heads in magnetic resonance imaging (MRI) sections with the integro-differential operator. - Jiss J. Nallikuzhy, Samarendra Dandapat:
Spatial enhancement of ECG using multiple joint dictionary learning. - Yunus Engin Gökdag, Firat Sansal, Y. Daghan Gökdel:
Image denoising using 2-D wavelet algorithm for Gaussian-corrupted confocal microscopy images. - Kenneth J. Hunt, Andreas Zahnd, Reto Grunder:
A unified heart rate control approach for cycle ergometer and treadmill exercise. - Laura Rebollo-Neira, Dana Cerná:
Wavelet based dictionaries for dimensionality reduction of ECG signals. - Negar Noorizadeh, Kamran Kazemi, Habibollah Danyali, Ardalan Aarabi:
Multi-atlas based neonatal brain extraction using a two-level patch-based label fusion strategy. - Biswabandhu Jana, Kamal Oswal, Sankar Mitra, Goutam Saha, Swapna Banerjee:
Detection of peripheral arterial disease using Doppler spectrogram based expert system for Point-of-Care applications. - Shadi Khodakaramzadeh, Yazdan Batmani, Nader Meskin:
Automatic blood glucose control for type 1 diabetes: A trade-off between postprandial hyperglycemia and hypoglycemia. - Mohammad Feli, Fardin Abdali Mohammadi:
12 lead electrocardiography signals compression by a new genetic programming based mathematical modeling algorithm. - Sahar Sadeghi, Ali Maleki:
Accurate estimation of information transfer rate based on symbol occurrence probability in brain-computer interfaces. - Rocio Salazar-Varas, Roberto Antonio Vázquez:
Evaluating the effect of the cutoff frequencies during the pre-processing stage of motor imagery EEG signals classification. - Komal Nain Sukhia, Muhammad Mohsin Riaz, Abdul Ghafoor, Syed Sohaib Ali, Naima Iltaf:
Content-based histopathological image retrieval using multi-scale and multichannel decoder based LTP. - Rabeb Touati, Imen Messaoudi, Afef Elloumi Oueslati, Zied Lachiri:
Distinguishing between intra-genomic helitron families using time-frequency features and random forest approaches. - Heng Li, Fengqian Pang, Zhiwen Liu:
A modeling strategy for cell dynamic morphology classification based on local deformation patterns. - Qinghua Huang, Jiulong Lan:
Remote control of a robotic prosthesis arm with six-degree-of-freedom for ultrasonic scanning and three-dimensional imaging. - Ardalan Aarabi, Theodore J. Huppert:
Assessment of the effect of data length on the reliability of resting-state fNIRS connectivity measures and graph metrics. - Lorena Santamaría, Christopher J. James:
On the existence of phase-synchronised states during motor imagery tasks. - Mohammed Diykh, Shahab A. Abdulla, Khalid Saleh, Ravinesh C. Deo:
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. - Asim D. Bakhshi, Muhammad Latif, Sajid Bashir:
An empirical mode decomposition based detection theoretic strategy for T-wave alternans analysis. - Mainak Basu, Raju Poddar:
An amplitude variation Field subtraction technique for visualization of vasculature of the human eye. - Joseph D. Gleason, Meeko M. K. Oishi, John T. Wen, Agung Julius, Suguna Pappu, Howard Yonas:
Assessing circadian rhythms and entrainment via intracranial temperature after severe head trauma. - Saaveethya Sivakumar, Alpha Agape Gopalai, King Hann Lim, Darwin Gouwanda:
Artificial neural network based ankle joint angle estimation using instrumented foot insoles. - Ernesto Rubio-Acosta, Julio Solano-González, Demetrio Fabián García-Nocetti, Martín Fuentes-Cruz:
On the truncation of time frequency distributions to improve the computational performance in the estimation of fundamental parameters of a Doppler ultrasound blood flow signal. - Vineeta Das, Samarendra Dandapat, Prabin Kumar Bora:
Multi-scale deep feature fusion for automated classification of macular pathologies from OCT images. - Almir Badnjevic, Lejla Gurbeta, Mehrija Hasicic, Lejla Bandic, Zerina Masetic, Zivorad Kovacevic, Jasmin Kevric, Leandro Pecchia:
Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance. - Paolo Finotelli, Monia Cabinio, Ottavia Dipasquale, Mara Cercignani, Francesca Baglio, Paolo Dulio:
Comparison between a pure functional connectivity and a mixed functional-topological model in functional connectivity. An application on parahippocampal gyrus-anterior division data. - Bahare Farahmand, Maryam Dehghani, Navid Vafamand:
Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach. - Toan Duc Bui, Jitae Shin, Taesup Moon:
Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation. - Aditi Bajaj, Sanjay Kumar:
QRS complex detection using fractional Stockwell transform and fractional Stockwell Shannon energy. - Spyridon Patmanidis, Roberto Chignola, Alexandros C. Charalampidis, George P. Papavassilopoulos:
A comparison between Nonlinear Least Squares and Maximum Likelihood estimation for the prediction of tumor growth on experimental data of human and rat origin.
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