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1.
Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response.
Biomed Eng Online
; 20(1): 63, 2021 Jun 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-34183038
2.
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection.
Biomed Eng Online
; 19(1): 88, 2020 Nov 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-33239006
3.
Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques.
Heliyon
; 10(4): e26192, 2024 Feb 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-38404820
4.
The intelligent modelling and optimization of an economic and ecosystem-friendly model for grid connected prosumer community.
PLoS One
; 18(1): e0276510, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36662811
5.
Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features.
Digit Health
; 9: 20552076231172632, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37256015
6.
Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans.
Sci Rep
; 13(1): 3291, 2023 02 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36841898
7.
Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis.
Biosensors (Basel)
; 12(12)2022 Dec 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-36551148
8.
Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.
PLoS One
; 17(11): e0275781, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36355845
9.
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI.
Sci Rep
; 12(1): 15389, 2022 09 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-36100621
10.
Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques.
Math Biosci Eng
; 18(3): 2882-2908, 2021 03 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-33892576
11.
Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
Math Biosci Eng
; 18(1): 400-425, 2020 12 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-33525099
12.
Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.
Math Biosci Eng
; 18(1): 69-91, 2020 11 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-33525081
13.
Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.
Math Biosci Eng
; 18(1): 495-517, 2020 12 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33525104
14.
Detecting prostate cancer using deep learning convolution neural network with transfer learning approach.
Cogn Neurodyn
; 14(4): 523-533, 2020 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-32655715
15.
Multiscale entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps.
Technol Health Care
; 28(3): 259-273, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-31594269
16.
Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.
Biomed Res Int
; 2020: 4281243, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32149106
17.
Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.
Curr Med Imaging Rev
; 15(6): 595-606, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-32008569
18.
Regression analysis for detecting epileptic seizure with different feature extracting strategies.
Biomed Tech (Berl)
; 64(6): 619-642, 2019 Dec 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-31145684
19.
Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach.
Cogn Neurodyn
; 12(3): 271-294, 2018 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-29765477
20.
Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm.
Biomed Tech (Berl)
; 63(4): 481-490, 2018 Jul 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-28763292