An artificial intelligence-based clinical decision support system for large kidney stone treatment

A knowledge-based system for brain tumor segmentation using only 3D FLAIR images

(2019) Yalda Amirmoezzi et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy

(2017) Alireza Aminsharifi et al.   JOURNAL OF ENDOUROLOGY

Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis

(2017) Mojtaba Taherisadr et al.   SENSORS

3D cerebral MR image segmentation using multiple-classifier system

(2016) Saba Amiri et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Kidney stones

(2016) Saeed R. Khan et al.   Nature Reviews Disease Primers

Automated classification of neurological disorders of gait using spatio-temporal gait parameters

(2015) Cauchy Pradhan et al.   JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY

Development and Internal Validation of a Classification System for Predicting Success Rates After Endoscopic Combined Intrarenal Surgery in the Modified Valdivia Position for Large Renal Stones

(2015) Shinnosuke Kuroda et al.   UROLOGY

Development and internal validation of a nomogram for predicting stone-free status after flexible ureteroscopy for renal stones

(2014) Hiroki Ito et al.   BJU INTERNATIONAL

A Nephrolithometric Nomogram to Predict Treatment Success of Percutaneous Nephrolithotomy

(2013) Arthur Smith et al.   JOURNAL OF UROLOGY

Seoul National University Renal Stone Complexity Score for Predicting Stone-Free Rate after Percutaneous Nephrolithotomy

(2013) Chang Wook Jeong et al.   PLoS One

A Rule-Based Decision-Making Diagnosis System to Evaluate Arteriovenous Shunt Stenosis for Hemodialysis Treatment of Patients Using Fuzzy Petri Nets

(2013) Wei-Ling Chen et al.   IEEE Journal of Biomedical and Health Informatics

Development of a nomogram for predicting the stone-free rate after transurethral ureterolithotripsy using semi-rigid ureteroscope

(2012) Yusuke Imamura et al.   INTERNATIONAL JOURNAL OF UROLOGY

SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition

(2011) Hossein Parsaei et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

The Clinical Research Office of the Endourological Society Percutaneous Nephrolithotomy Global Study: Indications, Complications, and Outcomes in 5803 Patients

(2011) Jean de la Rosette et al.   JOURNAL OF ENDOUROLOGY

Urolithiasis Through the Ages: Data on More Than 200,000 Urinary Stone Analyses

(2011) Thomas Knoll et al.   JOURNAL OF UROLOGY

The Guy's Stone Score—Grading the Complexity of Percutaneous Nephrolithotomy Procedures

(2011) Kay Thomas et al.   UROLOGY