Items where Author is "Bohoran, TA"
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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
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
