András Horváth

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Miklós GyöngyFaculty of Information Technology and Bionics, Pázmány Péter Catholic UniversityEmail confirmado em itk.ppke.hu
Gyorgy CsabaPázmány Péter Catholic University, formerly University of Notre DameEmail confirmado em itk.ppke.hu
Michael NiemierUniversity of Notre DameEmail confirmado em nd.edu
Xiaobo Sharon HuUniversity of Notre Dame, Department of Computer Science and EngineeringEmail confirmado em nd.edu
Wolfgang PorodFreimann Professor of Electrical Engineering, University of Notre DameEmail confirmado em nd.edu
Qiuwen LouUniversity of Notre DameEmail confirmado em nd.edu
Csaba RekeczkyAssociate Professor, Péter Pázmány Catholic University Budapest & Politecnico di TorinoEmail confirmado em digitus.itk.ppke.hu
Adrian BasarabUniversité de Lyon, CREATIS, former affiliation: Université de Toulouse, IRITEmail confirmado em creatis.insa-lyon.fr
Vivien MiczánBiological Research Centre SzegedEmail confirmado em brc.hu
Laszlo BarnaInstitute of Experimental MedicineEmail confirmado em koki.mta.hu
Indranil PalitEmail confirmado em alumni.nd.edu
Fernando CorintoPolitecnico di TorinoEmail confirmado em polito.it
Joseph J. NahasVisiting Professor, Department of Computer Science and Engineering, University of Notre DameEmail confirmado em nd.edu
Katona IstvanInstitute of Experimental Medicine, Hungarian Academy of SciencesEmail confirmado em koki.hu
Miklós KollerAssociate Professor, Pázmány Péter Catholic UniversityEmail confirmado em itk.ppke.hu
Behnam SedighiSemiconductor IndustryEmail confirmado em qti.qualcomm.com
Dmitri E. NikonovDistinguished Engineer, Kepler ComputingEmail confirmado em intel.com

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András Horváth

Peter Pazmany Catholic University, Faculty of Information Technology and Bionics

Email confirmado em itk.ppke.hu

computer vision machine learning


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Deep learning-based super-resolution applied to dental computed tomography J Hatvani, A Horváth, J Michetti, A Basarab, D Kouamé, M Gyöngy IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 120-128, 2018	112	2018
Correlated confocal and super-resolution imaging by VividSTORM L Barna, B Dudok, V Miczán, A Horváth, ZI László, I Katona Nature protocols 11 (1), 163-183, 2016	85	2016
Modeling of coupled spin torque oscillators for applications in associative memories G Csaba, M Pufall, W Rippard, W Porod 2012 12th ieee international conference on nanotechnology (ieee-nano), 1-4, 2012	56	2012
Overview of CNN research: 25 years history and the current trends Á Zarándy, C Rekeczky, P Szolgay, LO Chua 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 401-404, 2015	43	2015
Infrared neuromodulation: a neuroengineering perspective Z Fekete, ÁC Horváth, A Zátonyi Journal of neural engineering 17 (5), 051003, 2020	33	2020
Simultaneous in vivo recording of local brain temperature and electrophysiological signals with a novel neural probe Z Fekete, M Csernai, K Kocsis, ÁC Horváth, A Pongrácz, P Barthó Journal of Neural Engineering 14 (3), 034001, 2017	33	2017
A mixed signal architecture for convolutional neural networks Q Lou, C Pan, J McGuinness, A Horvath, A Naeemi, M Niemier, XS Hu ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (2), 1-26, 2019	31	2019
Cellular neural network friendly convolutional neural networks—CNNs with CNNs A Horváth, M Hillmer, Q Lou, XS Hu, M Niemier Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017	31	2017
Adatok a Mezőföld löszflórájához G Lendvai, A Horváth Botanikai Közlemények 81 (1), 9-12, 1994	26	1994
Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier WA Bosbach, JF Senge, B Nemeth, SH Omar, M Mitrakovic, C Beisbart, ... Current problems in diagnostic radiology 53 (1), 102-110, 2024	23	2024
An associative memory with oscillatory CNN arrays using spin torque oscillator cells and spin-wave interactions architecture and end-to-end simulator T Roska, A Horvath, A Stubendek, F Corinto, G Csaba, W Porod, ... 2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012	23	2012
Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model OM Balogh, B Benczik, A Horváth, M Pétervári, P Csermely, P Ferdinandy, ... BMC bioinformatics 23 (1), 78, 2022	20	2022
Synchronization in cellular spin torque oscillator arrays A Horváth, F Corinto, G Csaba, W Porod, T Roska 2012 13th International Workshop on Cellular Nanoscale Networks and their …, 2012	20	2012
Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms M Tokodi, B Magyar, A Soos, M Takeuchi, M Tolvaj, BK Lakatos, T Kitano, ... Cardiovascular Imaging 16 (8), 1005-1018, 2023	19	2023
A multimodal microtool for spatially controlled infrared neural stimulation in the deep brain tissue ÁC Horváth, ÖC Boros, S Beleznai, Ö Sepsi, P Koppa, Z Fekete Sensors and Actuators B: Chemical 263, 77-86, 2018	16	2018
Hazai újholocén klíma-és környezetváltozások vizsgálata régészeti adatok segítségével A Horváth Földrajzi kõzlemények 48 (1-4), 149-158, 2000	16	2000
Automated skin lesion classification on ultrasound images P Marosán-Vilimszky, K Szalai, A Horváth, D Csabai, K Füzesi, G Csány, ... Diagnostics 11 (7), 1207, 2021	15	2021
Hedonikus módszer alkalmazása a használt lakások áralakulásának megfigyelésében Á Horváth, G Székely Statisztikai Szemle 87 (6), 594-607, 2009	14	2009
A vaszari és somlóvásárhelyi Hallstatt-kori halomsírok A Horváth VMMÉ 8, 109-134, 1969	14	1969
Drug delivery through the psoriatic epidermal barrier—A “skin-on-a-chip” permeability study and ex vivo optical imaging D Kocsis, S Horváth, Á Kemény, Z Varga-Medveczky, C Pongor, R Molnár, ... International Journal of Molecular Sciences 23 (8), 4237, 2022	13	2022

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