Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy

Autor: David Reinecke, Niklas von Spreckelsen, Christian Mawrin, Adrian Ion-Margineanu, Gina Fürtjes, Stephanie T. Jünger, Florian Khalid, Christian W. Freudiger, Marco Timmer, Maximilian I. Ruge, Roland Goldbrunner, Volker Neuschmelting

Publikováno v: Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-13 (2022)

Abstract Determining the presence of tumor in biopsies and the decision-making during resections is often dependent on intraoperative rapid frozen-section histopathology. Recently, stimulated Raman scattering microscopy has been introduced to rapidly

Externí odkaz: https://doaj.org/article/69cceddf874f4048b8e1cc9dc380aa7f

Translational AI and Deep Learning in Diagnostic Pathology

Autor: Ahmed Serag, Adrian Ion-Margineanu, Hammad Qureshi, Ryan McMillan, Marie-Judith Saint Martin, Jim Diamond, Paul O'Reilly, Peter Hamilton

Publikováno v: Frontiers in Medicine, Vol 6 (2019)

There has been an exponential growth in the application of AI in health and in pathology. This is resulting in the innovation of deep learning technologies that are specifically aimed at cellular imaging and practical applications that could transfor

Externí odkaz: https://doaj.org/article/e7e97a5dba9d463789ee06203c1b9f91

Translational AI and Deep Learning in Diagnostic Pathology

Autor: Hammad Qureshi, Marie-Judith Saint Martin, Paul O’Reilly, Peter Hamilton, Ahmed Serag, Ryan Joseph McMillan, Adrian Ion-Margineanu, James Diamond

Publikováno v: Frontiers in Medicine
Frontiers in Medicine, Vol 6 (2019)

There has been an exponential growth in the application of AI in health and in pathology. This is resulting in the innovation of deep learning technologies that are specifically aimed at cellular imaging and practical applications that could transfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8538f26d76a87bce9a863bcd9fabd15
https://pubmed.ncbi.nlm.nih.gov/31632973

A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations

Autor: Diana M. Sima, Gabriel Kocevar, Françoise Durand-Dubief, Adrian Ion-Margineanu, Dominique Sappey-Marinier, Claudio Stamile, Sabine Van Huffel

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2017 ISBN: 9783319686110
ICANN (2)
26th International Conference on Artificial Neural Networks
26th International Conference on Artificial Neural Networks, Sep 2017, Alghero, Italy
Lecture Notes in Computer Science
Lecture Notes in Computer Science, pp.643-651, 2017

© Springer International Publishing AG 2017. The objective of this paper is to classify Multiple Sclerosis courses using features extracted from Magnetic Resonance Spectroscopic Imaging (MRSI) combined with brain tissue segmentations of gray matter,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29349f0439f460de267616441cd7fb6
https://doi.org/10.1007/978-3-319-68612-7_73

Visual manifold sensing

Autor: Adrian Ion-Margineanu, Thomas Martinetz, Irina Burciu, Erhardt Barth

Publikováno v: Human Vision and Electronic Imaging

We present a novel method, Manifold Sensing, for the adaptive sampling of the visual world based on manifolds of increasing but low dimensionality that have been learned with representative data. Because the data set is adapted during sampling, every

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e144eff963b3648e3eaf99d9c1708e7
https://doi.org/10.1117/12.2043012