Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Navigation/Suche

• Forscher*innen.
• Institutionen.
• Projekte.
• Publikationen.
• Partner.
• Geldgeber.
• Ausstattung.
• Knowhow.
• Forschungsfelder.

Publikationen

Suchbegriffe: NEURAL NETWORK, . Treffer: 92

2023

Hermans, ANL; Isaksen, JL; Gawalko, M; Pluymaekers, NAHA; van, der, Velden, RMJ; Snippe, H; Evens, S; De, Witte, G; Luermans, JGLM; Manninger, M; Lumens, J; Kanters, JK; Linz, D Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation.
Europace. 2023; 25(3):835-844 Doi: 10.1093/europace/euad011 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Kommoss, KS; Winkler, JK; Mueller-Christmann, C; Bardehle, F; Toberer, F; Stolz, W; Kraenke, T; Hofmann-Wellenhof, R; Blum, A; Enk, A; Rosenberger, A; Haenssle, HA Observational study investigating the level of support from a convolutional neural network in face and scalp lesions deemed diagnostically 'unclear' by dermatologists.
Eur J Cancer. 2023; 185:53-60 Doi: 10.1016/j.ejca.2023.02.025
Web of Science PubMed FullText FullText_MUG

 

Kränke, T; Tripolt-Droschl, K; Röd, L; Hofmann-Wellenhof, R; Koppitz, M; Tripolt, M New AI-algorithms on smartphones to detect skin cancer in a clinical setting-A validation study.
PLoS One. 2023; 18(2):e0280670 Doi: 10.1371/journal.pone.0280670 [OPEN ACCESS]
PubMed FullText FullText_MUG

 

Kreuzthaler, M; Pfeifer, B; Kramer, D; Schulz, S Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.
Stud Health Technol Inform. 2023; 302:788-792 Doi: 10.3233/SHTI230267
PubMed FullText FullText_MUG

 

2022

Bayat, A; Pace, DF; Sekuboyina, A; Payer, C; Stern, D; Urschler, M; Kirschke, JS; Menze, BH Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs.
Tomography. 2022; 8(1): 479-496. Doi: 10.3390/tomography8010039 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Egger, J; Gsaxner, C; Pepe, A; Pomykala, KL; Jonske, F; Kurz, M; Li, JN; Kleesiek, J Medical deep learning-A systematic meta-review
COMPUT METH PROG BIO. 2022; 221: 106874 Doi: 10.1016/j.cmpb.2022.106874
Web of Science PubMed FullText FullText_MUG

 

Feng, S; Liu, Q; Patel, A; Bazai, SU; Jin, CK; Kim, JS; Sarrafzadeh, M; Azzollini, D; Yeoh, J; Kim, E; Gordon, S; Jang-Jaccard, J; Urschler, M; Barnard, S; Fong, A; Simmers, C; Tarr, GP; Wilson, B Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.
J Med Imaging Radiat Oncol. 2022; 66(8): 1035-1043. Doi: 10.1111/1754-9485.13393
Web of Science PubMed FullText FullText_MUG

 

Finzel, B; Saranti, A; Angerschmid, A; Tafler, D; Pfeifer, B; Holzinger, A Generating Explanations for Conceptual Validation of Graph Neural Networks
KUNSTL INTELL. 2022; Doi: 10.1007/s13218-022-00781-7 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Güllmar, D; Jacobsen, N; Deistung, A; Timmann, D; Ropele, S; Reichenbach, JR Investigation of biases in convolutional neural networks for semantic segmentation using performance sensitivity analysis.
Z Med Phys. 2022; 32(3): 346-360. Doi: 10.1016/j.zemedi.2021.11.004 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Gunzer, F; Jantscher, M; Hassler, EM; Kau, T; Reishofer, G Reproducibility of artificial intelligence models in computed tomography of the head: a quantitative analysis.
Insights Imaging. 2022; 13(1):173 Doi: 10.1186/s13244-022-01311-7 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Herbsthofer, L; Tomberger, M; Smolle, MA; Prietl, B; Pieber, TR; López-García, P Cell2Grid: an efficient, spatial, and convolutional neural network-ready representation of cell segmentation data.
J Med Imaging (Bellingham). 2022; 9(6): 067501 Doi: 10.1117/1.JMI.9.6.067501 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Herrera, CR; Grandits, T; Plank, G; Perdikaris, P; Costabal, FS; Pezzuto, S Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
ENG COMPUT-GERMANY. 2022; Doi: 10.1007/s00366-022-01709-3
Web of Science FullText FullText_MUG

 

Janisch, M; Apfaltrer, G; Hržić, F; Castellani, C; Mittl, B; Singer, G; Lindbichler, F; Pilhatsch, A; Sorantin, E; Tschauner, S Pediatric radius torus fractures in x-rays-how computer vision could render lateral projections obsolete.
Front Pediatr. 2022; 10: 1005099 Doi: 10.3389/fped.2022.1005099 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Liu, S; Han, J; Puyal, EL; Kontaxis, S; Sun, S; Locatelli, P; Dineley, J; Pokorny, FB; Costa, GD; Leocani, L; Guerrero, AI; Nos, C; Zabalza, A; Sørensen, PS; Buron, M; Magyari, M; Ranjan, Y; Rashid, Z; Conde, P; Stewart, C; Folarin, AA; Dobson, RJ; Bailón, R; Vairavan, S; Cummins, N; Narayan, VA; Hotopf, M; Comi, G; Schuller, B; Consortium, RC Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit. 2022; 123:108403 Doi: 10.1016/j.patcog.2021.108403 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Lu, AX; Lu, AX; Pritišanac, I; Zarin, T; Forman-Kay, JD; Moses, AM Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning.
PLoS Comput Biol. 2022; 18(6): e1010238 Doi: 10.1371/journal.pcbi.1010238 [OPEN ACCESS]
PubMed FullText FullText_MUG

 

Mallol-Ragolta, A; Pokorny, FB; Bartl-Pokorny, KD; Semertzidou, A; Schuller, BW Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds.
Annu Int Conf IEEE Eng Med Biol Soc. 2022; 2022: 998-1001. Doi: 10.1109/EMBC48229.2022.9871125
PubMed FullText FullText_MUG

 

Müller, H; Holzinger, A; Plass, M; Brcic, L; Stumptner, C; Zatloukal, K Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation.
N Biotechnol. 2022; 70:67-72 Doi: 10.1016/j.nbt.2022.05.002
Web of Science PubMed FullText FullText_MUG

 

Pfeifer, B; Saranti, A; Holzinger, A GNN-SubNet: disease subnetwork detection with explainable graph neural networks.
Bioinformatics. 2022; 38(Supplement_2): ii120-ii126. Doi: 10.1093/bioinformatics/btac478
Web of Science PubMed FullText FullText_MUG

 

Pukaluk, A; Wittgenstein, AS; Leitinger, G; Kolb, D; Pernitsch, D; Schneider, SA; Knöbelreiter, P; Horak, V; Bredies, K; Holzapfel, GA; Pock, T; Sommer, G An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load.
Acta Biomater. 2022; 141:300-314 Doi: 10.1016/j.actbio.2022.01.036
Web of Science PubMed FullText FullText_MUG

 

Tinauer, C; Heber, S; Pirpamer, L; Damulina, A; Schmidt, R; Stollberger, R; Ropele, S; Langkammer, C Interpretable brain disease classification and relevance-guided deep learning.
SCI REP-UK. 2022; 12(1): 20254 Doi: 10.1038/s41598-022-24541-7 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

2021

Bloice, MD; Roth, PM; Holzinger, A Performing arithmetic using a neural network trained on images of digit permutation pairs
J INTELL INF SYST. 2021; Doi: 10.1007/s10844-021-00662-9
Web of Science FullText FullText_MUG

 

Chard, DT; Alahmadi, AAS; Audoin, B; Charalambous, T; Enzinger, C; Hulst, HE; Rocca, MA; Rovira, À; Sastre-Garriga, J; Schoonheim, MM; Tijms, B; Tur, C; Gandini Wheeler-Kingshott, CAM; Wink, AM; Ciccarelli, O; Barkhof, F; MAGNIMS Study Group Mind the gap: from neurons to networks to outcomes in multiple sclerosis.
Nat Rev Neurol. 2021; 17(3):173-184 Doi: 10.1038/s41582-020-00439-8
Web of Science PubMed FullText FullText_MUG

 

Egger, J; Pepe, A; Gsaxner, C; Jin, Y; Li, JN; Kern, R Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
PEERJ COMPUT SCI. 2021; 7: e773 Doi: 10.7717/peerj-cs.773
Web of Science FullText FullText_MUG

 

Grandits, T; Pezzuto, S; Costabal, FS; Perdikaris, P; Pock, T; Plank, G; Krause, R Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.
Funct Imaging Model Heart. 2021; 2021: 650-658. Doi: 10.1007/978-3-030-78710-3_62 [OPEN ACCESS]
PubMed FullText FullText_MUG

 

Haenssle, HA; Winkler, JK; Fink, C; Toberer, F; Enk, A; Stolz, W; Deinlein, T; Hofmann-Wellenhof, R; Kittler, H; Tschandl, P; Rosendahl, C; Lallas, A; Blum, A; Abassi, MS; Thomas, L; Tromme, I; Rosenberger, A; Reader study level-I and level-II Groups Christina Alt Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists.
Eur J Cancer. 2021; 144:192-199 Doi: 10.1016/j.ejca.2020.11.034
Web of Science PubMed FullText FullText_MUG

 

Hildebrandt, MK; Jauk, E; Lehmann, K; Maliske, L; Kanske, P Brain activation during social cognition predicts everyday perspective-taking: A combined fMRI and ecological momentary assessment study of the social brain.
Neuroimage. 2021; 227:117624 Doi: 10.1016/j.neuroimage.2020.117624 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Holzinger, A; Malle, B; Saranti, A; Pfeifer, B Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
INFORM FUSION. 2021; 71: 28-37. Doi: 10.1016/j.inffus.2021.01.008 [OPEN ACCESS]
Web of Science FullText FullText_MUG

 

Hržić, F; Tschauner, S; Sorantin, E; Štajduhar, I XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis.
Comput Biol Med. 2021; 132:104300 Doi: 10.1016/j.compbiomed.2021.104300
Web of Science PubMed FullText FullText_MUG

 

Li, J; von, Campe, G; Pepe, A; Gsaxner, C; Wang, E; Chen, X; Zefferer, U; Tödtling, M; Krall, M; Deutschmann, H; Schäfer, U; Schmalstieg, D; Egger, J Automatic skull defect restoration and cranial implant generation for cranioplasty.
MED IMAGE ANAL. 2021; 73: 102171 Doi: 10.1016/j.media.2021.102171
Web of Science PubMed FullText FullText_MUG

 

Micko, A; Placzek, F; Fonollà, R; Winklehner, M; Sentosa, R; Krause, A; Vila, G; Höftberger, R; Andreana, M; Drexler, W; Leitgeb, RA; Unterhuber, A; Wolfsberger, S Diagnosis of Pituitary Adenoma Biopsies by Ultrahigh Resolution Optical Coherence Tomography Using Neuronal Networks.
Front Endocrinol (Lausanne). 2021; 12:730100 Doi: 10.3389/fendo.2021.730100 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Monaci, S; Gillette, K; Puyol-Antón, E; Rajani, R; Plank, G; King, A; Bishop, M Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach.
Front Physiol. 2021; 12:682446 Doi: 10.3389/fphys.2021.682446 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Overhoff, D; Kohlmann, P; Frydrychowicz, A; Gatidis, S; Loewe, C; Moltz, J; Kuhnigk, JM; Gutberlet, M; Winter, H; Völker, M; Hahn, H; Schoenberg, SO, , Vorstandskommission, Radiomics, und, Big, data:;Vorstand, der, Deutschen, Röntgengesellschaft:;Präsidium, der, Österreichischen, Röntgengesellschaft: The International Radiomics Platform - An Initiative of the German and Austrian Radiological Societies - First Application Examples.
Rofo. 2021; 193(3): 276-288. Doi: 10.1055/a-1244-2775
Web of Science PubMed FullText FullText_MUG

 

Ranjan, R; Partl, R; Erhart, R; Kurup, N; Schnidar, H The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.
Comput Biol Med. 2021; 139:104952 Doi: 10.1016/j.compbiomed.2021.104952
Web of Science PubMed FullText FullText_MUG

 

Reich, S; Zhang, D; Kulvicius, T; Bölte, S; Nielsen-Saines, K; Pokorny, FB; Peharz, R; Poustka, L; Wörgötter, F; Einspieler, C; Marschik, PB Novel AI driven approach to classify infant motor functions.
Sci Rep. 2021; 11(1): 9888-9888. Doi: 10.1038/s41598-021-89347-5 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Shahrestani, S; Cardinal, T; Micko, A; Strickland, BA; Pangal, DJ; Kugener, G; Weiss, MH; Carmichael, J; Zada, G Neural network modeling for prediction of recurrence, progression, and hormonal non-remission in patients following resection of functional pituitary adenomas.
Pituitary. 2021; 24(4):523-529 Doi: 10.1007/s11102-021-01128-5
Web of Science PubMed FullText FullText_MUG

 

2020

Braun, T; Spiliopoulos, S; Veltman, C; Hergesell, V; Passow, A; Tenderich, G; Borggrefe, M; Koerner, MM Detection of myocardial ischemia due to clinically asymptomatic coronary artery stenosis at rest using supervised artificial intelligence-enabled vectorcardiography - A five-fold cross validation of accuracy.
J Electrocardiol. 2020; 59(5):100-105 Doi: 10.1016/j.jelectrocard.2019.12.018
Web of Science PubMed FullText FullText_MUG

 

Fink, C; Blum, A; Buhl, T; Mitteldorf, C; Hofmann-Wellenhof, R; Deinlein, T; Stolz, W; Trennheuser, L; Cussigh, C; Deltgen, D; Winkler, JK; Toberer, F; Enk, A; Rosenberger, A; Haenssle, HA Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined nevi and melanomas.
J Eur Acad Dermatol Venereol. 2019; Doi: 10.1111/jdv.16165 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Haenssle, HA; Fink, C; Toberer, F; Winkler, J; Stolz, W; Deinlein, T; Hofmann-Wellenhof, R; Lallas, A; Emmert, S; Buhl, T; Zutt, M; Blum, A; Abassi, MS; Thomas, L; Tromme, I; Tschandl, P; Enk, A; Rosenberger, A; Reader Study Level I and Level II Groups Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions.
Ann Oncol. 2020; 31(1): 137-143. Doi: 10.1016/j.annonc.2019.10.013 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Hahn, U; Oleynik, M Medical Information Extraction in the Age of Deep Learning.
Yearb Med Inform. 2020; 29(1): 208-220. Doi: 10.1055/s-0040-1702001 [OPEN ACCESS]
PubMed FullText FullText_MUG

 

Holzinger, A; Carrington, A; Müller, H Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations.
Kunstliche Intell (Oldenbourg). 2020; 34(2):193-198 Doi: 10.1007/s13218-020-00636-z [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Jokinen, H; Koikkalainen, J; Laakso, HM; Melkas, S; Nieminen, T; Brander, A; Korvenoja, A; Rueckert, D; Barkhof, F; Scheltens, P; Schmidt, R; Fazekas, F; Madureira, S; Verdelho, A; Wallin, A; Wahlund, LO; Waldemar, G; Chabriat, H; Hennerici, M; O'Brien, J; Inzitari, D; Lötjönen, J; Pantoni, L; Erkinjuntti, T Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline.
Stroke. 2020; STROKEAHA119026170-STROKEAHA119026170. Doi: 10.1161/STROKEAHA.119.026170 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Kreuzthaler, M; Oleynik, M; Schulz, S Character-Level Neural Language Modelling in the Clinical Domain.
Stud Health Technol Inform. 2020; 270:83-87 Doi: 10.3233/SHTI200127
PubMed FullText FullText_MUG

 

Lan, KC; Litscher, G; Hung, TH Traditional Chinese Medicine Pulse Diagnosis on a Smartphone Using Skin Impedance at Acupoints: A Feasibility Study.
Sensors (Basel). 2020; 20(16): Doi: 10.3390/s20164618 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Lopatina, A; Ropele, S; Sibgatulin, R; Reichenbach, JR; Güllmar, D Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis.
Front Neurosci. 2020; 14:609468-609468 Doi: 10.3389/fnins.2020.609468 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Marchetti, MA; Liopyris, K; Dusza, SW; Codella, NCF; Gutman, DA; Helba, B; Kalloo, A; Halpern, AC; Soyer, HP; Curiel-Lewandrowski, C; Kittler, H; Caffery, L; Malvehy, J; Wellenhof, RH Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
J Am Acad Dermatol. 2020; 82(3):622-627 Doi: 10.1016/j.jaad.2019.07.016 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Messner, E; Fediuk, M; Swatek, P; Scheidl, S; Smolle-Jüttner, FM; Olschewski, H; Pernkopf, F Multi-channel lung sound classification with convolutional recurrent neural networks.
Comput Biol Med. 2020; 122(4):103831-103831 Doi: 10.1016/j.compbiomed.2020.103831
Web of Science PubMed FullText FullText_MUG

 

Neumayer, B; Lesch, A; Thaler, F; Widek, T; Tschauner, S; De Tobel, J; Ehammer, T; Kirnbauer, B; Boldt, J; van Wijk, M; Stollberger, R; Urschler, M The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation.
Int J Legal Med. 2020; 134(4):1475-1485 Doi: 10.1007/s00414-019-02231-w [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Pitkänen, J; Koikkalainen, J; Nieminen, T; Marinkovic, I; Curtze, S; Sibolt, G; Jokinen, H; Rueckert, D; Barkhof, F; Schmidt, R; Pantoni, L; Scheltens, P; Wahlund, LO; Korvenoja, A; Lötjönen, J; Erkinjuntti, T; Melkas, S Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.
Neuroradiology. 2020; 62(10): 1257-1263. Doi: 10.1007/s00234-020-02410-2 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Winkler, JK; Sies, K; Fink, C; Toberer, F; Enk, A; Deinlein, T; Hofmann-Wellenhof, R; Thomas, L; Lallas, A; Blum, A; Stolz, W; Abassi, MS; Fuchs, T; Rosenberger, A; Haenssle, HA Melanoma recognition by a deep learning convolutional neural network-Performance in different melanoma subtypes and localisations.
Eur J Cancer. 2020; 127:21-29 Doi: 10.1016/j.ejca.2019.11.020
Web of Science PubMed FullText FullText_MUG

 

2019

Bloice, MD; Roth, PM; Holzinger, A Biomedical image augmentation using Augmentor.
Bioinformatics. 2019; 35(21):4522-4524 Doi: 10.1093/bioinformatics/btz259
Web of Science PubMed FullText FullText_MUG

 

Weitere 50 Treffer anzeigen

↑ Seitenanfang / Navigation

© Med Uni Graz • Impressum