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Publikationen

Suchbegriffe: IMAGE ANALYSIS, . Treffer: 150

2022

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
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Faihs, L; Firouz, B; Slezak, P; Slezak, C; Weissensteiner, M; Ebner, T; Tabrizi-Wizsy, NG; Schicho, K; Dungel, P A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model
CANCERS. 2022; 14(17): 4273 Doi: 10.3390/cancers14174273 [OPEN ACCESS]
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Jakubauskas, M; Jakubauskiene, L; Leber, B; Horvath, A; Strupas, K; Stiegler, P; Schemmer, P Probiotic Supplementation Suppresses Tumor Growth in an Experimental Colorectal Cancer Liver Metastasis Model.
INT J MOL SCI. 2022; 23(14): 7674 Doi: 10.3390/ijms23147674 [OPEN ACCESS]
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Kern, D; Khalil, M; Pirpamer, L; Buchmann, A; Hofer, E; Dal-Bianco, P; Stögmann, E; Scherfler, C; Benke, T; Ransmayr, G; Schmidt, R Serum NfL in Alzheimer Dementia: Results of the Prospective Dementia Registry Austria.
Medicina (Kaunas). 2022; 58(3): Doi: 10.3390/medicina58030433 [OPEN ACCESS]
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Nagy, E; Marterer, R; Hržić, F; Sorantin, E; Tschauner, S Learning rate of students detecting and annotating pediatric wrist fractures in supervised artificial intelligence dataset preparations.
PLoS One. 2022; 17(10): e0276503 Doi: 10.1371/journal.pone.0276503 [OPEN ACCESS]
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Schary, W; Paskali, F; Rentschler, S; Ruppert, C; Wagner, GE; Steinmetz, I; Deigner, HP; Kohl, M Open-Source, Adaptable, All-in-One Smartphone-Based System for Quantitative Analysis of Point-of-Care Diagnostics.
Diagnostics (Basel). 2022; 12(3): Doi: 10.3390/diagnostics12030589 [OPEN ACCESS]
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Siegerist, F; Hay, E; Dikou, JS; Pollheimer, M; Büscher, A; Oh, J; Ribback, S; Zimmermann, U; Bräsen, JH; Lenoir, O; Drenic, V; Eller, K; Tharaux, PL; Endlich, N ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.
J Cell Mol Med. 2022; 26(12): 3513-3526. Doi: 10.1111/jcmm.17392 [OPEN ACCESS]
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2021

Branzan, D; Geisler, A; Grunert, R; Steiner, S; Bausback, Y; Gockel, I; Scheinert, D; Schmidt, A The Influence of 3D Printed Aortic Models on the Evolution of Physician Modified Stent Grafts for the Urgent Treatment of Thoraco-abdominal and Pararenal Aortic Pathologies.
Eur J Vasc Endovasc Surg. 2021; 61(3): 407-412. Doi: 10.1016/j.ejvs.2020.10.023
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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
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Fuchs, J; Nonn, O; Daxboeck, C; Groiss, S; Moser, G; Gauster, M; Lang-Olip, I; Brislinger, D Automated Quantitative Image Evaluation of Antigen Retrieval Methods for 17 Antibodies in Placentation and Implantation Diagnostic and Research.
Microsc Microanal. 2021; 1-12 Doi: 10.1017/S1431927621012630
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Giardina, G; Micko, A; Bovenkamp, D; Krause, A; Placzek, F; Papp, L; Krajnc, D; Spielvogel, CP; Winklehner, M; Höftberger, R; Vila, G; Andreana, M; Leitgeb, R; Drexler, W; Wolfsberger, S; Unterhuber, A Morpho-Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical Imaging.
Cancers (Basel). 2021; 13(13): Doi: 10.3390/cancers13133234 [OPEN ACCESS]
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Lara, Hernandez, KA; Rienmüller, T; Baumgartner, D; Baumgartner, C Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability.
Comput Biol Med. 2021; 130:104200 Doi: 10.1016/j.compbiomed.2020.104200 [OPEN ACCESS]
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Marincowitz, C; Webster, I; Westcott, C; Goswami, N; de Boever, P; Seidel, G; Strijdom, H Vascular health assessment with flow-mediated dilatation and retinal image analysis: a pilot study in an adult population from Cape Town.
Cardiovasc J Afr. 2020; 31: 1-8. Doi: 10.5830/CVJA-2020-046 [OPEN ACCESS]
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Poilliot, A; Kurosawa, D; Toranelli, M; Zhang, M; Zwirner, J; Müller-Gerbl, M; Hammer, N Subchondral Bone Changes Following Sacroiliac Joint Arthrodesis - A Morpho-mechanical Assessment of Surgical Treatment of the Painful Joint.
Pain Physician. 2021; 24(3):E317-E326 Doi: 10.36076/ppj.2021/24/E317
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2020

Asenbaum, U; Nolz, R; Puchner, SB; Schoster, T; Baumann, L; Furtner, J; Zimpfer, D; Laufer, G; Loewe, C; Sandner, SE Coronary artery bypass grafting and perioperative stroke: imaging of atherosclerotic plaques in the ascending aorta with ungated high-pitch CT-angiography.
Sci Rep. 2020; 10(1):13909 Doi: 10.1038/s41598-020-70830-4 [OPEN ACCESS]
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de Sitter, A; Visser, M; Brouwer, I; Cover, KS; van Schijndel, RA; Eijgelaar, RS; Müller, DMJ; Ropele, S; Kappos, L; Rovira, Á; Filippi, M; Enzinger, C; Frederiksen, J; Ciccarelli, O; Guttmann, CRG; Wattjes, MP; Witte, MG; de Witt Hamer, PC; Barkhof, F; Vrenken, H; MAGNIMS Study Group and Alzheimer’s Disease Neuroimaging Initiative Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods.
Eur Radiol. 2020; 30(2):1062-1074 Doi: 10.1007/s00330-019-06459-3 [OPEN ACCESS]
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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. Doi: 10.1016/j.annonc.2019.10.013 [OPEN ACCESS]
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Hofmann, L; Kroneis, T; El-Heliebi, A Using In Situ Padlock Probe Technology to Detect mRNA Splice Variants in Tumor Cells.
Methods Mol Biol. 2020; 2148: 361-378. Doi: 10.1007/978-1-0716-0623-0_23
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Jahn, SW; Plass, M; Moinfar, F Digital Pathology: Advantages, Limitations and Emerging Perspectives.
J Clin Med. 2020; 9(11): Doi: 10.3390/jcm9113697 [OPEN ACCESS]
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Pepe, A; Li, J; Rolf-Pissarczyk, M; Gsaxner, C; Chen, X; Holzapfel, GA; Egger, J Detection, segmentation, simulation and visualization of aortic dissections: A review.
MED IMAGE ANAL. 2020; 65(1): 101773-101773. Doi: 10.1016/j.media.2020.101773
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Smolle, E; Leko, P; Stacher-Priehse, E; Brcic, L; El-Heliebi, A; Hofmann, L; Quehenberger, F; Hrzenjak, A; Popper, HH; Olschewski, H; Leithner, K Distribution and prognostic significance of gluconeogenesis and glycolysis in lung cancer.
Mol Oncol. 2020; 14(11):2853-2867 Doi: 10.1002/1878-0261.12780 [OPEN ACCESS]
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Strocchi, M; Augustin, CM; Gsell, MAF; Karabelas, E; Neic, A; Gillette, K; Razeghi, O; Prassl, AJ; Vigmond, EJ; Behar, JM; Gould, J; Sidhu, B; Rinaldi, CA; Bishop, MJ; Plank, G; Niederer, SA A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations.
PLoS One. 2020; 15(6):e0235145 Doi: 10.1371/journal.pone.0235145 [OPEN ACCESS]
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2019

Beer, L; Polanec, SH; Baltzer, PAT; Schatzl, G; Georg, D; Schestak, C; Dutschke, A; Herrmann, H; Mazal, P; Brendel, AK; Shariat, SF; Ringl, H; Helbich, TH; Apfaltrer, P 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
PLoS One. 2019; 14(12):e0225673-e0225673 Doi: 10.1371/journal.pone.0225673 [OPEN ACCESS]
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Gsaxner, C; Roth, PM; Wallner, J; Egger, J Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.
PLoS One. 2019; 14(3):e0212550-e0212550 Doi: 10.1371/journal.pone.0212550 [OPEN ACCESS]
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Holzinger, A; Haibe-Kains, B; Jurisica, I Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data.
Eur J Nucl Med Mol Imaging. 2019; 46(13):2722-2730 Doi: 10.1007/s00259-019-04382-9
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Kasparek, MF; Töpker, M; Lazar, M; Weber, M; Kasparek, M; Mang, T; Apfaltrer, P; Kubista, B; Windhager, R; Ringl, H Dual-energy CT and ceramic or titanium prostheses material reduce CT artifacts and provide superior image quality of total knee arthroplasty.
Knee Surg Sports Traumatol Arthrosc. 2019; 27(5):1552-1561 Doi: 10.1007/s00167-018-5001-8 [OPEN ACCESS]
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Partl, R; Lehner, J; Winkler, P; Kapp, KS Testing the feasibility of augmented digital skin imaging to objectively compare the efficacy of topical treatments for radiodermatitis.
PLoS One. 2019; 14(6): e0218018-e0218018. Doi: 10.1371/journal.pone.0218018 [OPEN ACCESS]
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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 Doi: 10.1016/j.media.2019.03.007 [OPEN ACCESS]
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2018

Klonowski, W; Stepien, P; Stepien, R; Sedivy, R; Ahammer, H; Spasic, SZ ANALYSIS OF ANAL INTRAEPITHELIAL NEOPLASIA IMAGES USING 1D AND 2D HIGUCHI's FRACTAL DIMENSION METHODS
FRACTALS. 2018; 26(3): 1850021 Doi: 10.1142/S0218348X18500214
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Pienn, M; Burgard, C; Payer, C; Avian, A; Urschler, M; Stollberger, R; Olschewski, A; Olschewski, H; Johnson, T; Meinel, FG; Bálint, Z Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography.
Front Physiol. 2018; 9(1):346-346 Doi: 10.3389/fphys.2018.00346 [OPEN ACCESS]
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2017

Asslaber, M; Schauer, S; Gogg-Kamerer, M; Bernhart, E; Quehenberger, F; Haybaeck, J Native Oligodendrocytes in Astrocytomas Might Inhibit Tumor Proliferation by WIF1 Expression.
J Neuropathol Exp Neurol. 2017; 76(1):16-26 Doi: 10.1093/jnen/nlw098 [OPEN ACCESS]
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Claudia, M; Kristin, Ö; Jennifer, O; Eva, R; Eleonore, F Comparison of fluorescence-based methods to determine nanoparticle uptake by phagocytes and non-phagocytic cells in vitro.
Toxicology. 2017; 378(2):25-36 Doi: 10.1016/j.tox.2017.01.001 [OPEN ACCESS]
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Kainz, P; Burgsteiner, H; Asslaber, M; Ahammer, H Training echo state networks for rotation-invariant bone marrow cell classification.
Neural Comput Appl. 2017; 28(6):1277-1292 Doi: 10.1007/s00521-016-2609-9 [OPEN ACCESS]
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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 Doi: 10.7717/peerj.3874 [OPEN ACCESS]
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Schipke, J; Brandenberger, C; Rajces, A; Manninger, M; Alogna, A; Post, H; Mühlfeld, C Assessment of cardiac fibrosis: a morphometric method comparison for collagen quantification.
J Appl Physiol (1985). 2017; 122(4):1019-1030 Doi: 10.1152/japplphysiol.00987.2016 [OPEN ACCESS]
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Sirinukunwattana, K; Pluim, JPW; Chen, H; Qi, X; Heng, PA; Guo, YB; Wang, LY; Matuszewski, BJ; Bruni, E; Sanchez, U; Böhm, A; Ronneberger, O; Cheikh, BB; Racoceanu, D; Kainz, P; Pfeiffer, M; Urschler, M; Snead, DRJ; Rajpoot, NM Gland segmentation in colon histology images: The glas challenge contest.
Med Image Anal. 2017; 35(3):489-502 Doi: 10.1016/j.media.2016.08.008 [OPEN ACCESS]
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2016

Gross, P; Honnorat, N; Varol, E; Wallner, M; Trappanese, DM; Sharp, TE; Starosta, T; Duran, JM; Koller, S; Davatzikos, C; Houser, SR Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.
Sci Rep. 2016; 6(7):23431-23431 Doi: 10.1038/srep23431 [OPEN ACCESS]
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Krediet, JT; Kanitakis, J; Bob, A; Schmitter, J; Krediet, AC; Röwert, J; Stockfleth, E; Painsi, C; Hügel, R; Terhorst, D; Lange-Asschenfeldt, B Prognostic value of the area and density of lymphatic vessels in cutaneous squamous cell carcinoma.
J Dtsch Dermatol Ges. 2016; 14(11): 1114-1121. Doi: 10.1111/ddg.12880
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Madreiter-Sokolowski, CT; Gottschalk, B; Parichatikanond, W; Eroglu, E; Klec, C; Waldeck-Weiermair, M; Malli, R; Graier, WF Resveratrol Specifically Kills Cancer Cells by a Devastating Increase in the Ca2+ Coupling Between the Greatly Tethered Endoplasmic Reticulum and Mitochondria.
Cell Physiol Biochem. 2016; 39(4):1404-1420 Doi: 10.1159/000447844 [OPEN ACCESS]
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Rókusz, A; Nagy, E; Gerlei, Z; Veres, D; Dezső, K; Paku, S; Szücs, A; Hajósi-Kalcakosz, S; Pávai, Z; Görög, D; Kóbori, L; Fehérvári, I; Nemes, B; Nagy, P Quantitative morphometric and immunohistochemical analysis and their correlates in cirrhosis--A study on explant livers.
Scand J Gastroenterol. 2016; 51(1):86-94 Doi: 10.3109/00365521.2015.1067902
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Storelli, L; Pagani, E; Rocca, MA; Horsfield, MA; Gallo, A; Bisecco, A; Battaglini, M; De Stefano, N; Vrenken, H; Thomas, DL; Mancini, L; Ropele, S; Enzinger, C; Preziosa, P; Filippi, M A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.
AJNR Am J Neuroradiol. 2016; 37(11):2043-2049 Doi: 10.3174/ajnr.A4874 [OPEN ACCESS]
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Wu, S; Zellnitz, S; Mercuri, A; Salar-Behzadi, S; Bresciani, M; Fröhlich, E An in vitro and in silico study of the impact of engineered surface modifications on drug detachment from model carriers.
Int J Pharm. 2016; 513(1-2):109-117 Doi: 10.1016/j.ijpharm.2016.08.064
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Yao, J; Burns, JE; Forsberg, D; Seitel, A; Rasoulian, A; Abolmaesumi, P; Hammernik, K; Urschler, M; Ibragimov, B; Korez, R; Vrtovec, T; Castro-Mateos, I; Pozo, JM; Frangi, AF; Summers, RM; Li, S A multi-center milestone study of clinical vertebral CT segmentation.
Comput Med Imaging Graph. 2016; 49(4):16-28 Doi: 10.1016/j.compmedimag.2015.12.006 [OPEN ACCESS]
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2015

Afrimzon, E; Zurgil, N; Sobolev, M; Shafran, Y; Langer, K; Zlatev, I; Wronski, R; Windisch, M; von Briesen, H; Schmidt, R; Pietrzik, C; Deutsch, M Detection and analysis of human serum albumin nanoparticles within phagocytic cells at the resolution of individual live cell or single 3D multicellular spheroid
J NANOPART RES. 2015; 17(12): 492 Doi: 10.1007/s11051-015-3306-9
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Jokinen, H; Gonçalves, N; Vigário, R; Lipsanen, J; Fazekas, F; Schmidt, R; Barkhof, F; Madureira, S; Verdelho, A; Inzitari, D; Pantoni, L; Erkinjuntti, T; LADIS Study Group Early-Stage White Matter Lesions Detected by Multispectral MRI Segmentation Predict Progressive Cognitive Decline.
Front Neurosci. 2015; 9(6):455-455 Doi: 10.3389/fnins.2015.00455 [OPEN ACCESS]
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Reiss, MA; Sabathiel, N; Ahammer, H Noise dependency of algorithms for calculating fractal dimensions in digital images
CHAOS SOLITON FRACT. 2015; 78: 39-46. Doi: 10.1016/j.chaos.2015.07.004
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2014

Egger, J Refinement-cut: user-guided segmentation algorithm for translational science.
Sci Rep. 2014; 4(2): 5164-5164. Doi: 10.1038/srep05164 [OPEN ACCESS]
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Helige, C; Ahammer, H; Moser, G; Hammer, A; Dohr, G; Huppertz, B; Sedlmayr, P Distribution of decidual natural killer cells and macrophages in the neighbourhood of the trophoblast invasion front: a quantitative evaluation.
Hum Reprod. 2014; 29(1):8-17 Doi: 10.1093/humrep/det353 [OPEN ACCESS]
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Schlederer, M; Mueller, KM; Haybaeck, J; Heider, S; Huttary, N; Rosner, M; Hengstschläger, M; Moriggl, R; Dolznig, H; Kenner, L Reliable quantification of protein expression and cellular localization in histological sections.
PLoS One. 2014; 9(7):e100822-e100822 Doi: 10.1371/journal.pone.0100822 [OPEN ACCESS]
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Ulrich, D; Tan, KS; Deane, J; Schwab, K; Cheong, A; Rosamilia, A; Gargett, CE Mesenchymal stem/stromal cells in post-menopausal endometrium.
Hum Reprod. 2014; 29(9):1895-1905 Doi: 10.1093/humrep/deu159 [OPEN ACCESS]
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