Items where Author is "Kumar, D."

Group by: Item Type | No Grouping
Number of items: 26.

Article

Bhayo, B.A. and Al-Kayiem, H.H. and Gilani, S.I.U. and Khan, N. and Kumar, D. (2022) Energy management strategy of hybrid solar-hydro system with various probabilities of power supply loss. Solar Energy, 233. pp. 230-245. ISSN 0038092X

Kumar, D. and Ganat, T. and Lashari, N. and Ayoub, M.A. and Kalam, S. and Chandio, T.A. and Negash, B.M. (2022) Experimental investigation of GO-HPAM and SiO2-HPAM composite for cEOR: Rheology, interfacial tension reduction, and wettability alteration. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 637. ISSN 09277757

Kumar, D. and Lashari, N. and Ganat, T. and Abdalla Ayoub, M. and Ahmed Soomro, A. and Ali Chandio, T. (2022) A review on application of nanoparticles in cEOR: Performance, mechanisms, and influencing parameters. Journal of Molecular Liquids, 353. ISSN 01677322

Abro, G.E.M. and Asirvadam, V.S. and Bin Mohd Zulkifli, S.A. and Sattar, A. and Kumar, D. and Anwer, A. (2020) Effects of unmodelled dynamic factors on an under-actuated quadrotor: A review of hybrid observer design methods. Measurement and Control (United Kingdom), 53 (9-10). pp. 1978-1987. ISSN 00202940

Sheikh, N.A. and Ching, D.L.C. and Khan, I. and Kumar, D. and Nisar, K.S. (2020) A new model of fractional Casson fluid based on generalized Fick's and Fourier's laws together with heat and mass transfer. Alexandria Engineering Journal, 59 (5). pp. 2865-2876. ISSN 11100168

Kumar, D. and Gandhamal, A. and Talbar, S. and Hani, A.F.M. (2019) Knee articular cartilage segmentation from MR images: A Review. ACM Computing Surveys, 51 (5). ISSN 03600300

Gandhamal, A. and Talbar, S. and Gajre, S. and Razak, R. and Hani, A.F.M. and Kumar, D. (2017) Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative. Computers in Biology and Medicine, 88. pp. 110-125. ISSN 00104825

Gandhamal, A. and Talbar, S. and Gajre, S. and Hani, A.F.M. and Kumar, D. (2017) Local gray level S-curve transformation � A generalized contrast enhancement technique for medical images. Computers in Biology and Medicine, 83. pp. 120-133. ISSN 00104825

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Kumar, D. (2016) Computer aided diagnosis (CAD) tool for the analysis of calcaneofibular ligament using ultrasonographic images. ARPN Journal of Engineering and Applied Sciences, 11 (14). pp. 8972-8977. ISSN 18196608

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Swain, A. and Kumar, D. (2016) Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images. BioMedical Engineering Online, 15 (1). ISSN 1475925X

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Yahya, N. and Kumar, D. (2016) Ultrasound based three dimensional computer aided diagnosis (CAD) tool for the diagnosis of anterior talofibular ligament. Studies in Computational Intelligence, 651. pp. 213-235. ISSN 1860949X

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Swain, A.K. and Kumar, D. (2015) 3D reconstruction of CFL ligament based on ultrasonographic images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9429. pp. 503-513. ISSN 03029743

Hani, A.F.M. and Kumar, D. and Malik, A.S. and Walter, N. and Razak, R. and Kiflie, A. (2015) Multinuclear MR and Multilevel Data Processing. An Insight into Morphologic Assessment of InVivo Knee Articular Cartilage. Academic Radiology, 22 (1). pp. 93-104. ISSN 10766332

Hani, A.F.M. and Kumar, D. and Malik, A.S. and Ahmad, R.M.K.R. and Razak, R. and Kiflie, A. (2015) Non-invasive and in vivo assessment of osteoarthritic articular cartilage: A review on MRI investigations. Rheumatology International, 35 (1). ISSN 01728172

Moayedfar, M. and Abdul-Rani, A.M. and Kumar, D. (2015) An integrated approach utilising imaging and computer aided design of MR images for customized medical knee implants production. Journal of Medical Imaging and Health Informatics, 5 (8). pp. 1839-1842. ISSN 21567018

Hani, A.F.M. and Kumar, D. and Malik, A.S. and Razak, R. (2013) Physiological assessment of in vivo human knee articular cartilage using sodium MR imaging at 1.5T. Magnetic Resonance Imaging, 31 (7). pp. 1059-1067. ISSN 0730725X

Conference or Workshop Item

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Kumar, D. (2017) Clinical assessment of injured ankle ATFL ligaments based on ultrasound imaging in the athletes. In: UNSPECIFIED.

Gandhamal, A. and Talbar, S. and Gajre, S. and Hani, A.F.M. and Kumar, D. (2017) A generalized contrast enhancement approach for knee MR images. In: UNSPECIFIED.

Singh, V. and Elamvazuthi, I. and Jeoti, V. and George, J. and Swain, A.K. and Kumar, D. (2015) Modeling of Interpolation Methods for Robot Assisted and Freehand Ultrasound Imaging System. In: UNSPECIFIED.

Hani, A.F.M. and Haq, N.U. and Kumar, D. and Wei, E.H.T. (2014) Brain circuit model for drug addiction. In: UNSPECIFIED.

Hani, A.F.M. and Kumar, D. and Malik, A.S. and Razak, R. and Kiflie, A. (2013) Fusion of multinuclear magnetic resonance images of knee for the assessment of articular cartilage. In: UNSPECIFIED.

Kumar, D. and Hani, A.F.M. and Malik, A.S. and Kamil, R. and Razak, R. and Kiflie, A. (2011) Development of a non-invasive diagnostic tool for early detection of knee osteoarhritis. In: UNSPECIFIED.

Mohd Hani, A.F. and Malik, A.S. and Kumar, D. and Kamil, R. and Razak, R. and Kiflie, A. (2011) Features and modalities for assessing early knee osteoarthritis. In: UNSPECIFIED.

Book

Kumar, D. and Mohamad Hani, A.F. (2017) Introduction to optical imaging. CRC Press, pp. 1-22. ISBN 9781498750387; 9781498750370

Mohamad Hani, A.F. and Kumar, D. (2017) Optical imaging for biomedical and clinical applications. CRC Press, pp. 1-422. ISBN 9781498750387; 9781498750370

Mohamad Hani, A.F. and Kumar, D. (2017) Preface. CRC Press, ix-xi. ISBN 9781498750387; 9781498750370

This list was generated on Thu Dec 19 08:46:16 2024 +08.