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Robust Lung Segmentation combining adaptive Concave Hulls with Active Contours.

, , and . SMC, page 4775-4780. IEEE, (2016)

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Medical image compression based on region of interest using better portable graphics (BPG)., , , , , and . SMC, page 216-221. IEEE, (2017)Robust Lung Segmentation combining adaptive Concave Hulls with Active Contours., , and . SMC, page 4775-4780. IEEE, (2016)Assessing the Capability of Deep-Learning Models in Parkinson's Disease Diagnosis., , and . ICSM, volume 12015 of Lecture Notes in Computer Science, page 237-247. Springer, (2019)Automatic detection of lumen and media in the IVUS images using U-Net with VGG16 Encoder., , and . CoRR, (2018)Towards the Identification of Parkinson's Disease Using only T1 MR Images., , and . ICSM, volume 11010 of Lecture Notes in Computer Science, page 145-156. Springer, (2018)Parkinson's Disease Mid-Brain Assessment using MR T2 Images., , and . BIBE, page 211-214. IEEE, (2019)A Comparative Study of Time Frequency Representation Techniques for Freeze of Gait Detection and Prediction., , , and . Sensors, 21 (19): 6446 (2021)Kin-FOG: Automatic Simulated Freezing of Gait (FOG) Assessment System for Parkinson's Disease., , and . Sensors, 19 (10): 2416 (2019)Body Movement Monitoring for Parkinson's Disease Patients Using A Smart Sensor Based Non-Invasive Technique., , , , and . HealthCom, page 1-6. IEEE, (2018)Automatic Classification and Monitoring of Denovo Parkinson's Disease by Learning Demographic and Clinical Features., , and . EMBC, page 3968-3971. IEEE, (2019)