Pluronic F127-Folate Coated Super Paramagenic Iron Oxide Nanoparticles as Contrast Agent for Cancer Diagnosis in Magnetic Resonance Imaging

Autor: Hieu Vu-Quang, Mads Sloth Vinding, Thomas Nielsen, Marcus Görge Ullisch, Niels Chr. Nielsen, Dinh-Truong Nguyen, Jørgen Kjems

Publikováno v: Polymers, Vol 11, Iss 4, p 743 (2019)

Contrast agents have been widely used in medicine to enhance contrast in magnetic resonance imaging (MRI). Among them, super paramagnetic iron oxide nanoparticles (SPION) have been reported to have low risk in clinical use. In our study, F127-Folate

Externí odkaz: https://doaj.org/article/9d4831491e7e4795b05d08622edc7564

Computer-Assisted Annotation of Digital H&E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H&E-Stained Cutaneous Melanoma

Autor: Patricia Switten Nielsen, Jeanette Baehr Georgsen, Mads Sloth Vinding, Lasse Riis Østergaard, Torben Steiniche

Publikováno v: Nielsen, P S, Georgsen, J B, Vinding, M S, Østergaard, L R & Steiniche, T 2022, ' Computer-Assisted Annotation of Digital H &E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H &E-Stained Cutaneous Melanoma ', International Journal of Environmental Research and Public Health, vol. 19, no. 21, 14327 . https://doi.org/10.3390/ijerph192114327
International Journal of Environmental Research and Public Health; Volume 19; Issue 21; Pages: 14327
Aarhus University

Deep learning for the analysis of H&E stains requires a large annotated training set. This may form a labor-intensive task involving highly skilled pathologists. We aimed to optimize and evaluate computer-assisted annotation based on digital dual sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6160a0411bfb59d4593d8e4ecc55a39
https://pure.au.dk/portal/da/publications/computerassisted-annotation-of-digital-hesox10-dual-stains-generates-highperforming-convolutional-neural-network-for-calculating-tumor-burden-in-hestained-cutaneous-melanoma(01cb3c5d-bae1-4c26-949f-ce3345a5a9d9).html

Optimal control gradient precision trade-offs: Application to fast generation of DeepControl libraries for MRI

Autor: Mads Sloth Vinding, Ilya Kuprov, Torben Ellegaard Lund, David L. Goodwin

Publikováno v: Journal of magnetic resonance, 333, Art.Nr. 107094
Vinding, M S, Goodwin, D L, Kuprov, I & Lund, T E 2021, ' Optimal control gradient precision trade-offs : Application to fast generation of DeepControl libraries for MRI ', Journal of Magnetic Resonance, vol. 333, 107094 . https://doi.org/10.1016/j.jmr.2021.107094

We have recently demonstrated supervised deep learning methods for rapid generation of radiofrequency pulses in magnetic resonance imaging (https://doi.org/10.1002/mrm.27740, https://doi.org/10.1002/mrm.28667). Unlike the previous iterative optimizat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd25f45b6fd46a01fca17351f5194e0b
https://pubmed.ncbi.nlm.nih.gov/34794089

Synthesis of poly (styrene sulfonate) coated Gd3+ poly (lactide-Co-glycolic acid) perfluoro bromide nanoparticles for stem cell monitoring using magnetic resonance imaging

Autor: Mads Sloth Vinding, Thanh-Quang Nguyen, Hieu Vu-Quang

Publikováno v: Vu-Quang, H, Nguyen, T Q & Vinding, M S 2020, ' Synthesis of poly (styrene sulfonate) coated Gd 3+ poly (lactide-Co-glycolic acid) perfluoro bromide nanoparticles for stem cell monitoring using magnetic resonance imaging ', Revista de Chimie, vol. 71, no. 9, pp. 77-86 . https://doi.org/10.37358/RC.20.9.8319

Magnetic resonance imaging (MRI) is one of best imaging technologies to monitor transplanted stem cells, because of its high anatomical resolution and safety. In this study, we aim to synthesize Poly (styrene sulphonate) coated Gd3+ - Poly (lactide c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1013a8f3ecceaa59635ba07f91d8ae5e
https://pure.au.dk/portal/da/publications/synthesis-of-poly-styrene-sulfonate-coated-gd3-poly-lactidecoglycolic-acid-perfluoro-bromide-nanoparticles-for-stem-cell-monitoring-using-magnetic-resonance-imaging(0dfe2572-14ac-4add-a416-b825e42500ec).html

Imaging Rheumatoid Arthritis in Mice Using Combined Near Infrared and 19F Magnetic Resonance Modalities

Autor: Niels Chr. Nielsen, Mads Sloth Vinding, Frederik Dagnæs-Hansen, Maria Jakobsen, Hieu Vu-Quang, Ping Song, Jørgen Kjems

Publikováno v: Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Vu-Quang, H, Vinding, M S, Jakobsen, M, Song, P, Dagnaes-Hansen, F, Nielsen, N C & Kjems, J 2019, ' Imaging rheumatoid arthritis in mice using combined near infrared and 19 F magnetic resonance modalities ', Scientific Reports, vol. 9, 14314 . https://doi.org/10.1038/s41598-019-50043-0

Rheumatoid arthritis (RA) is an autoimmune disease that causes pain and tissue destruction in people worldwide. An accurate diagnosis is paramount in order to develop an effective treatment plan. This study demonstrates that combining near infrared (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a209d7623ff07a591de97ede5aec8c
http://europepmc.org/articles/PMC6778085