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

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Publikationen

Suchbegriffe: CONVOLUTIONAL NEURAL NETWORK, . Treffer: 16

2020

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;
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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. [OPEN ACCESS]
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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. [OPEN ACCESS]
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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;
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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.
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2019

Bollmann, S; Kristensen, MH; Larsen, MS; Olsen, MV; Pedersen, MJ; Østergaard, LR; O'Brien, K; Langkammer, C; Fazlollahi, A; Barth, M SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network.
Z Med Phys. 2019; 29(2):139-149
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Payer, C; Štern, D; Bischof, H; Urschler, M Integrating spatial configuration into heatmap regression based CNNs for landmark localization.
Med Image Anal. 2019; 54:207-219 [OPEN ACCESS]
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Sadeghi, M; Maldonado, I; Abele, N; Haybaeck, J; Boese, A; Poudel, P; Friebe, M Feedback-based Self-improving CNN Algorithm for Breast Cancer Lymph Node Metastasis Detection in Real Clinical Environment.
Conf Proc IEEE Eng Med Biol Soc. 2019; 2019:7212-7215
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Stern, D; Payer, C; Giuliani, N; Urschler, M Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.
IEEE J Biomed Health Inform. 2019; 23(4):1392-1403
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Štern, D; Payer, C; Urschler, M Automated age estimation from MRI volumes of the hand.
Med Image Anal. 2019; 58(10): 101538-101538. [OPEN ACCESS]
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Tschandl, P; Rosendahl, C; Akay, BN; Argenziano, G; Blum, A; Braun, RP; Cabo, H; Gourhant, JY; Kreusch, J; Lallas, A; Lapins, J; Marghoob, A; Menzies, S; Neuber, NM; Paoli, J; Rabinovitz, HS; Rinner, C; Scope, A; Soyer, HP; Sinz, C; Thomas, L; Zalaudek, I; Kittler, H Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.
JAMA Dermatol. 2019; 155(1):58-65 [OPEN ACCESS]
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Winkler, JK; Fink, C; Toberer, F; Enk, A; Deinlein, T; Hofmann-Wellenhof, R; Thomas, L; Lallas, A; Blum, A; Stolz, W; Haenssle, HA Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition.
JAMA Dermatol. 2019; [OPEN ACCESS]
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Wu, O; Winzeck, S; Giese, AK; Hancock, BL; Etherton, MR; Bouts, MJRJ; Donahue, K; Schirmer, MD; Irie, RE; Mocking, SJT; McIntosh, EC; Bezerra, R; Kamnitsas, K; Frid, P; Wasselius, J; Cole, JW; Xu, H; Holmegaard, L; Jiménez-Conde, J; Lemmens, R; Lorentzen, E; McArdle, PF; Meschia, JF; Roquer, J; Rundek, T; Sacco, RL; Schmidt, R; Sharma, P; Slowik, A; Stanne, TM; Thijs, V; Vagal, A; Woo, D; Bevan, S; Kittner, SJ; Mitchell, BD; Rosand, J; Worrall, BB; Jern, C; Lindgren, AG; Maguire, J; Rost, NS Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data.
Stroke. 2019; 50(7): 1734-1741. [OPEN ACCESS]
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2018

Corneli, P; Zalaudek, I; Magaton Rizzi, G; di Meo, N Improving the early diagnosis of early nodular melanoma: can we do better?
Expert Rev Anticancer Ther. 2018; 18(10):1007-1012
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Weis, CA; Kather, JN; Melchers, S; Al-Ahmdi, H; Pollheimer, MJ; Langner, C; Gaiser, T Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome.
Diagn Pathol. 2018; 13(1):64-64 [OPEN ACCESS]
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2017

Kainz, P; Pfeiffer, M; Urschler, M Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization.
PeerJ. 2017; 5(6):e3874-e3874 [OPEN ACCESS]
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