Items where Author is "Giannakidis, A"

Journal article

SIOURAS, A., MOUSTAKIDIS, S., CHALATSIS, G., BOHORAN, T.A., HANTES, M., VLYCHOU, M., TASOULIS, S., GIANNAKIDIS, A. and TSAOPOULOS, D., 2024. Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Computerized Medical Imaging and Graphics: 102424. ISSN 0895-6111

KAMPAKTSIS, P.N., BOHORAN, T.A., LEBEHN, M., MCLAUGHLIN, L., LEB, J., LIU, Z., MOUSTAKIDIS, S., SIOURAS, A., SINGH, A., HAHN, R.T., MCCANN, G.P. and GIANNAKIDIS, A., 2024. An attention‐based deep learning method for right ventricular quantification using 2D echocardiography: feasibility and accuracy. Echocardiography, 41 (1): e15719. ISSN 0742-2822

BOHORAN, T.A., PARKE, K.S., GRAHAM-BROWN, M.P.M., MEISURIA, M., SINGH, A., WORMLEIGHTON, J., ADLAM, D., GOPALAN, D., DAVIES, M.J., WILLIAMS, B., BROWN, M., MCCANN, G.P. and GIANNAKIDIS, A., 2023. Resource efficient aortic distensibility calculation by end to end spatiotemporal learning of aortic lumen from multicentre multivendor multidisease CMR images. Scientific Reports, 13: 21794. ISSN 2045-2322

KAMPAKTSIS, P.N. and GIANNAKIDIS, A., 2023. Can deep learning improve 2D echocardiographic RV assessment? First important steps. JACC: Cardiovascular Imaging, 16 (12), p. 1635. ISSN 1936-878X

SIOURAS, A., MOUSTAKIDIS, S., GIANNAKIDIS, A., CHALATSIS, G., LIAMPAS, I., VLYCHOU, M., HANTES, M., TASOULIS, S. and TSAOPOULOS, D., 2022. Knee injury detection using deep learning on MRI studies: a systematic review. Diagnostics, 12 (2): 537. ISSN 2075-4418

GHONIM, S., ERNST, S., KEEGAN, J., GIANNAKIDIS, A., SPADOTTO, V., VOGES, I., SMITH, G.C., BOUTSIKOU, M., MONTANARO, C., WONG, T., HO, S.Y., MCCARTHY, K.P., SHORE, D.F., DIMOPOULOS, K., UEBING, A., SWAN, L., LI, W., PENNELL, D.J., GATZOULIS, M.A. and BABU-NARAYAN, S.V., 2020. Three-dimensional late gadolinium enhancement cardiovascular magnetic resonance predicts inducibility of ventricular tachycardia in adults with repaired tetralogy of Fallot. Circulation: Arrhythmia and Electrophysiology, 13 (11), pp. 1331-1341. ISSN 1941-3149

GIANNAKIDIS, A. and GULLBERG, G.T., 2020. Transmural remodeling of cardiac microstructure in aged spontaneously hypertensive rats by diffusion tensor MRI. Frontiers in Physiology, 11: 265. ISSN 1664-042X

NIELLES-VALLESPIN, S., KHALIQUE, Z., FERREIRA, P.F., DE SILVA, R., SCOTT, A.D., KILNER, P., MCGILL, L.-A., GIANNAKIDIS, A., GATEHOUSE, P.D., ENNIS, D., ALIOTTA, E., AL-KHALIL, M., KELLMAN, P., MAZILU, D., BALABAN, R.S., FIRMIN, D.N., ARAI, A.E. and PENNELL, D.J., 2017. Assessment of myocardial microstructural dynamics by in vivo diffusion tensor cardiac magnetic resonance. Journal of the American College of Cardiology, 69 (6), pp. 661-676. ISSN 0735-1097

GIANNAKIDIS, A., MELKUS, G., YANG, G. and GULLBERG, G.T., 2016. On the averaging of cardiac diffusion tensor MRI data: the effect of distance function selection. Physics in Medicine and Biology, 61 (21), pp. 7765-7786. ISSN 0031-9155

MCGILL, L.A., FERREIRA, P.F., SCOTT, A.D., NIELLES-VALLESPIN, S., GIANNAKIDIS, A., KILNER, P.J., GATEHOUSE, P.D., DE SILVA, R., FIRMIN, D.N. and PENNELL, D.J., 2016. Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers. Journal of Cardiovascular Magnetic Resonance, 18: 2. ISSN 1532-429X

TRAN, N., GIANNAKIDIS, A., GULLBERG, G.T. and SEO, Y., 2016. Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging. Journal of Medical Imaging, 3 (4): 046001. ISSN 2329-4302

GIANNAKIDIS, A., GULLBERG, G.T., PENNELL, D.J. and FIRMIN, D.N., 2016. Value of formalin fixation for the prolonged preservation of rodent myocardial microanatomical organization: evidence by MR diffusion tensor imaging. The Anatomical Record, 299 (7), pp. 878-887. ISSN 1932-8486

GIANNAKIDIS, A., NYKTARI, E., KEEGAN, J., PIERCE, I., SUMAN HORDUNA, I., HALDAR, S., PENNELL, D.J., MOHIADDIN, R., WONG, T. and FIRMIN, D.N., 2015. Rapid automatic segmentation of abnormal tissue in late gadolinium enhancement cardiovascular magnetic resonance images for improved management of long-standing persistent atrial fibrillation. BioMedical Engineering OnLine, 14: 88. ISSN 1475-925X

PANFILOV, A.V., MCGILL, L.-A., SCOTT, A.D., FERREIRA, P.F., NIELLES-VALLESPIN, S., ISMAIL, T., KILNER, P.J., GATEHOUSE, P.D., DE SILVA, R., PRASAD, S.K., GIANNAKIDIS, A., FIRMIN, D.N. and PENNELL, D.J., 2015. Heterogeneity of fractional anisotropy and mean diffusivity measurements by in vivo diffusion tensor imaging in normal human hearts. PLOS ONE, 10 (7), e0132360. ISSN 1932-6203

PETROU, M. and GIANNAKIDIS, A., 2011. Full tomographic reconstruction of 2D vector fields using discrete integral data. The Computer Journal, 54 (9), pp. 1491-1504. ISSN 0010-4620

GIANNAKIDIS, A. and PETROU, M., 2011. Improved 2D vector field estimation using probabilistic weights. Journal of the Optical Society of America A, 28 (8), pp. 1620-1635. ISSN 1084-7529

GIANNAKIDIS, A. and PETROU, M., 2010. Sampling bounds for 2-D vector field tomography. Journal of Mathematical Imaging and Vision, 37 (2), pp. 151-165. ISSN 0924-9907

GIANNAKIDIS, A., KOTOULAS, L. and PETROU, M., 2010. Virtual sensors for 2D vector field tomography. Journal of the Optical Society of America A, 27 (6), pp. 1331-1341. ISSN 1084-7529

Chapter in book

BOHORAN, T.A., KAMPAKTSIS, P.N., MCLAUGHLIN, L., LEB, J., MOUSTAKIDIS, S., MCCANN, G.P. and GIANNAKIDIS, A., 2024. Embracing uncertainty flexibility: harnessing a supervised tree kernel to empower ensemble modelling for 2D echocardiography-based prediction of right ventricular volume. In: W. OSTEN, ed., Proceedings of SPIE: Sixteenth International Conference on Machine Vision (ICMV 2023). Bellingham, Washington: SPIE. ISBN 9781510674622

BOHORAN, T.A., KAMPAKTSIS, P.N., MCCANN, G.P. and GIANNAKIDIS, A., 2024. Fast-tracking the deep residual network training for arrhythmia classification by leveraging the power of dynamical systems. In: 17th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS 2023) proceedings. IEEE. ISBN 9798350370928

BOHORAN, T.A., KAMPAKTSIS, P.N., MCLAUGHLIN, L., LEB, J., MOUSTAKIDIS, S., MCCANN, G.P. and GIANNAKIDIS, A., 2023. Right ventricular volume prediction by feature tokenizer transformer-based regression of 2D echocardiography small-scale tabular data. In: O. BERNARD, P. CLARYSSE, N. DUCHATEAU, J. OHAYON and M. VIALLON, eds., Functional imaging and modeling of the heart: 12th International Conference, FIMH 2023, Lyon, France, June 19–22, 2023, proceedings. Cham: Springer, pp. 292-300. ISBN 9783031353017

SIOURAS, A., MOUSTAKIDIS, S., GIANNAKIDIS, A., CHALATSIS, G., MALIZOS, K.N., HANTES, M., TASOULIS, S. and TSAOPOULOS, D., 2022. Automated recognition of healthy anterior cruciate ligament in sagittal MR images using lightweight deep learning. In: 2022 13th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE. ISBN 9781665463911

GIANNAKIDIS, A., KAMNITSAS, K., SPADOTTO, V., KEEGAN, J., SMITH, G., GLOCKER, B., RUECKERT, D., ERNST, S., GATZOULIS, M.A., PENNELL, D.J., BABU-NARAYAN, S. and FIRMIN, D.N., 2016. Fast fully automatic segmentation of the severely abnormal human right ventricle from cardiovascular magnetic resonance images using a multi-scale 3D convolutional neural network. In: K. YETONGNON, A. DIPANDA, R. CHBEIR, G. DE PIETRO and L. GALLO, eds., Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Naples, Italy, 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 42-46. ISBN 9781509056989

GIANNAKIDIS, A., ROHMER, D., VERESS, A.I. and GULLBERG, G.T., 2013. Diffusion tensor magnetic resonance imaging-derived myocardial fiber disarray in hypertensive left ventricular hypertrophy: visualization, quantification and the effect on mechanical function. In: M. SHENASA, G. HINDRICKS, M. BORGGREFE, G. BREITHARDT and M.E. JOSEPHSON, eds., Cardiac mapping. 4th ed. Oxford: Wiley-Blackwell, pp. 574-588. ISBN 9780470670460

GIANNAKIDIS, A. and PETROU, M., 2010. Conductivity imaging and generalized radon transform. In: P.W. HAWKES, ed., Advances in imaging and electron physics. Volume 162, Optics of charged particle analyzers. London: Academic Press, pp. 129-172. ISBN 9780123813169

NEACSU, F., BOUTCHKO, R., GIANNAKIDIS, A. and GULLBERG, G.T., 2010. A level set approach to segmenting a deforming myocardium from dynamically acquired SPECT projection data. In: 2010 IEEE Nuclear Science Symposium & Medical Imaging Conference Record (NSS/MIC 2010). Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 3588-3592. ISBN 9781424491056

GIANNAKIDIS, A., KOTOULAS, L. and PETROU, M., 2008. Improved 2-D vector field reconstruction using virtual sensors and the Radon transform. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 2725-2728. ISBN 9781424418145