TY  - JOUR
AU  - Litvinova, Yulia
AU  - Merkur, Sherry
AU  - Allin, Sara
AU  - Angulo-Pueyo, Ester
AU  - Behmane, Daiga
AU  - Bernal-Delgado, Enrique
AU  - Dalmas, Miriam
AU  - De Belvis, Antonio
AU  - Edwards, Nigel
AU  - Estupiñán-Romero, Francisco
AU  - Gaál, Péter
AU  - Gerkens, Sophie
AU  - Jamieson, Margaret
AU  - Morsella, Alisha
AU  - Picecchi, Dario
AU  - Røshol, Hilde
AU  - Saunes, Ingrid Sperre
AU  - Sullivan, Terry
AU  - Szécsényi-Nagy, Balázs
AU  - Vijver, Inneke Van De
AU  - Walter, Ricciardi
AU  - Panteli, Dimitra
TI  - Availability and financing of CAR-T cell therapies: A cross-country comparative analysis
JF  - HEALTH POLICY
J2  - HEALTH POLICY
VL  - 149
PY  - 2024
PG  - 10
SN  - 0168-8510
DO  - 10.1016/j.healthpol.2024.105153
UR  - https://m2.mtmt.hu/api/publication/35262204
ID  - 35262204
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Rice, T.
AU  - Vrangbæk, K.
AU  - Saunes, I.S.
AU  - Bouckaert, N.
AU  - Bryndová, L.
AU  - Cascini, F.
AU  - Võrk, A.
AU  - Dimova, A.
AU  - Kocot, E.
AU  - Murauskiene, L.
AU  - Bricard, D.
AU  - Blumel, M.
AU  - Gaál, Péter
AU  - Pažitný, P.
TI  - Can revenue collection for public funding in health care be progressive? An assessment of 29 Countries
JF  - HEALTH POLICY
J2  - HEALTH POLICY
VL  - 148
PY  - 2024
PG  - 10
SN  - 0168-8510
DO  - 10.1016/j.healthpol.2024.105147
UR  - https://m2.mtmt.hu/api/publication/35199513
ID  - 35199513
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Becsei, Ágnes
AU  - Fuschi, Alessandro
AU  - Otani, Saria
AU  - Kant, Ravi
AU  - Weinstein, Ilja
AU  - Alba, Patricia
AU  - Stéger, József
AU  - Visontai, David
AU  - Brinch, Christian
AU  - de Graaf, Miranda
AU  - Schapendonk, Claudia M. E.
AU  - Battisti, Antonio
AU  - De Cesare, Alessandra
AU  - Oliveri, Chiara
AU  - Troja, Fulvia
AU  - Sironen, Tarja
AU  - Vapalahti, Olli
AU  - Pasquali, Frédérique
AU  - Bányai, Krisztián
AU  - Makó, Magdolna
AU  - Pollner, Péter
AU  - Merlotti, Alessandra
AU  - Koopmans, Marion
AU  - Csabai, István
AU  - Remondini, Daniel
AU  - Aarestrup, Frank M.
AU  - Munk, Patrick
TI  - Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance
JF  - NATURE COMMUNICATIONS
J2  - NAT COMMUN
VL  - 15
PY  - 2024
IS  - 1
PG  - 13
SN  - 2041-1723
DO  - 10.1038/s41467-024-51957-8
UR  - https://m2.mtmt.hu/api/publication/35196419
ID  - 35196419
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kenesei-Kalló, Andrea Dóra
AU  - Joó, Tamás
AU  - Mikesy, Gergely
AU  - Jóni, András Dániel
AU  - Pénzes, Melinda
TI  - „Egészségpart” mobil nyári szűrő- és egészségedukációs programsorozat: népegészségügyi megfontolások
JF  - NÉPEGÉSZSÉGÜGY
J2  - NÉPEGÉSZSÉGÜGY
VL  - 101
PY  - 2024
IS  - 2
SP  - 150
EP  - 151
PG  - 2
SN  - 0369-3805
UR  - https://m2.mtmt.hu/api/publication/35195352
ID  - 35195352
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Jóni, András Dániel
AU  - Pénzes, Melinda
AU  - Cselkó, Zsuzsa
AU  - Hajnes, József
AU  - Rákosy-Vokó, Zsuzsa
TI  - Dohányzás- és nikotinmentes kórházi stratégia kialakítása a Bethesda Gyermekkórházban
JF  - NÉPEGÉSZSÉGÜGY
J2  - NÉPEGÉSZSÉGÜGY
VL  - 101
PY  - 2024
IS  - 2
SP  - 147
EP  - 147
PG  - 1
SN  - 0369-3805
UR  - https://m2.mtmt.hu/api/publication/35195341
ID  - 35195341
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Pénzes, Melinda
AU  - Joó, Tamás
TI  - Innovatív lehetőségek a dohányzás visszaszorításában
JF  - NÉPEGÉSZSÉGÜGY
J2  - NÉPEGÉSZSÉGÜGY
VL  - 101
PY  - 2024
IS  - 2
SP  - 146
EP  - 146
PG  - 1
SN  - 0369-3805
UR  - https://m2.mtmt.hu/api/publication/35195291
ID  - 35195291
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Rákosy, Zsuzsa
AU  - Hajnes, József
AU  - Pénzes, Melinda
AU  - Velkey, György
TI  - Játékosan a kórházi dolgozók egészségéért: „Országos Kórházi Egészségkihívás”
JF  - NÉPEGÉSZSÉGÜGY
J2  - NÉPEGÉSZSÉGÜGY
VL  - 101
PY  - 2024
IS  - 2
SP  - 127
EP  - 128
PG  - 2
SN  - 0369-3805
UR  - https://m2.mtmt.hu/api/publication/35195278
ID  - 35195278
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kovács, Bianka
AU  - Kojaku, Sadamori
AU  - Palla, Gergely
AU  - Fortunato, Santo
TI  - Iterative embedding and reweighting of complex networks reveals community structure
JF  - SCIENTIFIC REPORTS
J2  - SCI REP
VL  - 14
PY  - 2024
IS  - 1
PG  - 17
SN  - 2045-2322
DO  - 10.1038/s41598-024-68152-w
UR  - https://m2.mtmt.hu/api/publication/35161343
ID  - 35161343
N1  - Export Date: 26 August 2024            
            Correspondence Address: Palla, G.; Department of Biological Physics, Pázmány P. stny. 1/A, Hungary; email: gergely.palla@emk.semmelweis.hu
AB  - Graph embeddings learn the structure of networks and represent it in low-dimensional vector spaces. Community structure is one of the features that are recognized and reproduced by embeddings. We show that an iterative procedure, in which a graph is repeatedly embedded and its links are reweighted based on the geometric proximity between the nodes, reinforces intra-community links and weakens inter-community links, making the clusters of the initial network more visible and more easily detectable. The geometric separation between the communities can become so strong that even a very simple parsing of the links may recover the communities as isolated components with surprisingly high precision. Furthermore, when used as a pre-processing step, our embedding and reweighting procedure can improve the performance of traditional community detection algorithms.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Lengyel, Balázs Csaba
AU  - Vecsey-Nagy, Milán
AU  - Péter, Csongor
AU  - Varga, Andrea
AU  - Kováts, Tamás
AU  - Bayerle, Patrik
AU  - Sótonyi, Péter
AU  - Banga, Péter
TI  - The Circle of Willis Status Influences Neurological Complications of Carotid Endarterectomy with Contralateral Carotid Occlusion
JF  - ANNALS OF VASCULAR SURGERY
J2  - ANN VASC SURG
VL  - 108
PY  - 2024
SP  - 410
EP  - 418
PG  - 9
SN  - 0890-5096
DO  - 10.1016/j.avsg.2024.05.021
UR  - https://m2.mtmt.hu/api/publication/35157361
ID  - 35157361
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kilim, Oz Sam
AU  - Báskay, János
AU  - Biricz, András Mátyás
AU  - Bedőházi, Zsolt
AU  - Pollner, Péter
AU  - Csabai, István
TI  - Transfer learning may explain pigeons' ability to detect cancer in histopathology
JF  - BIOINSPIRATION & BIOMIMETICS
J2  - BIOINSPIR BIOMIM
VL  - 19
PY  - 2024
IS  - 5
PG  - 11
SN  - 1748-3182
DO  - 10.1088/1748-3190/ad6825
UR  - https://m2.mtmt.hu/api/publication/35152435
ID  - 35152435
AB  - Pigeons' unexpected competence in learning to categorize unseen histopathological images has remained an unexplained discovery for almost a decade. Could it be that knowledge transferred from their bird's-eye views of the earth's surface gleaned during flight contributes to this ability? Employing a simulation-based verification strategy, we re-capitulate this biological phenomenon with a machine-learning analog. We model pigeons' visual experience during flight with the self-supervised pre-training of a deep neural network on BirdsEyeViewNet (BEVNet); our large-scale aerial imagery dataset. As an analog of the differential food reinforcement performed in the Levenson et al. study, we apply transfer learning from this pre-trained model to the same Hematoxylin and Eosin H&E histopathology and radiology images and tasks the pigeons were trained and tested on. The study demonstrates that pre-training neural networks with bird's-eye view data results in close agreement with pigeon performance. These results support transfer learning as a reasonable computational model of pigeon representation learning. This is further validated with six large-scale downstream classification tasks using H&E stained whole slide image (WSI) data sets representing diverse cancer types.
LA  - English
DB  - MTMT
ER  -