Tommaso Di Noto

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Jonas RichiardiLausanne University Hospital and University of LausanneVerified email at chuv.ch
Patric HagmannProfessor of Radiology, University Hospital Lausanne, SwitzerlandVerified email at chuv.ch
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Verified email at unil.ch
Sebastien Tourbier, PhDDepartment of Radiology, University Hospital of LausanneVerified email at alumni.epfl.ch
Guillaume SaliouAssociate Professor, MD, PhD, HabVerified email at chuv.ch
Yasser Alemán GómezDepartment of Psychiatry and Department of Radiology. Centre Hospitalier Universitaire Vaudois (CHUVVerified email at chuv.ch
Oscar EstebanDept. Radiology, Lausanne University Hospital and University of LausanneVerified email at chuv.ch
Alkadhi HProfessor of Radiology, University Hospital ZurichVerified email at usz.ch
Robert MankaVerified email at usz.ch
Paolo SodaProfessor of AI, Università Campus Bio-Medico di Roma, ItalyVerified email at unicampus.it
Monika HegiFull Professor, Lausanne University Hospital, SwitzerlandVerified email at chuv.ch
Benedetta FranceschielloAssociate Professor, School of Engineering, HES-SO Valais-WallisVerified email at hevs.ch
Paolo Bartolomeo, M.D., Ph.D.Paris Brain Institute, Sorbonne Université, Inserm, CNRSVerified email at upmc.fr
Astrid MinierLINE, Jules Gonin Eye Hospital, Lausanne, SwitzerlandVerified email at fa2.ch
Micah M. MurrayFounding Scientific and Academic Director, The Sense Innovation and Research Center, SwitzerlandVerified email at chuv.ch
Pierre PougetCNRS, Paris, FranceVerified email at icm-institute.org
Alexia BourgeoisUniversity of GenevaVerified email at unige.ch
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.it
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu

Tommaso Di Noto

Siemens Healthineers

Verified email at siemens-healthineers.com

medical imaging machine learning MRI radiomics


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Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ... NeuroImage 238, 118216, 2021	48	2021
Radiomics for Distinguishing Myocardial Infarction from Myocarditis at Late Gadolinium Enhancement at MRI: Comparison with Subjective Visual Analysis T Di Noto, J von Spiczak, M Mannil, E Gantert, P Soda, R Manka, ... Radiology: Cardiothoracic Imaging 1 (5), e180026, 2019	29	2019
Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge T Di Noto, G Marie, S Tourbier, Y Alemán-Gómez, O Esteban, G Saliou, ... Neuroinformatics - https://doi.org/10.1007/s12021-022-09597-0, 2022	14*	2022
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect B Franceschiello, T Di Noto, A Bourgeois, MM Murray, A Minier, P Pouget, ... Computer Methods and Programs in Biomedicine 221, 106929, 2022	7	2022
Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification TD Noto, C Atat, EG Teiga, M Hegi, A Hottinger, MB Cuadra, P Hagmann, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021	3	2021
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels T Di Noto, G Marie, S Tourbier, Y Alemán-Gómez, G Saliou, MB Cuadra, ... Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020	2	2020
Transfer learning with weak labels from radiology reports: application to glioma change detection T Di Noto, MB Cuadra, C Atat, EG Teiga, M Hegi, A Hottinger, P Hagmann, ... arXiv preprint arXiv:2210.09698, 2022	1	2022
Weak labels for deep-learning-based detection of brain aneurysms from MR angiography scans T Di Noto, G Marie, S Tourbier, Y Alemán-Gómez, O Esteban, G Saliou, ... Medical Imaging with Deep Learning, 2022		2022
Towards improving high-grade gliomas diagnostic surveillance on T2-weighted images using weak labels from radiology reports T Di Noto, C Atat, EG Teiga, M Hegi, A Hottinger, P Hagmann, MB Cuadra, ...		2022
Improving automated aneurysm detection on multi-site MRA data: lessons learnt from a public machine learning challenge T Di Noto, G Marie, S Tourbier, Y Alemán-Gómez, O Esteban, G Saliou, ...		2021
Artificial Intelligence and Radiomics: Outlook into the Future T Di Noto, M Mannil, H Aerts, C Kadian Neuroimaging Techniques in Clinical Practice, 335-342, 2020		2020
Weakly Supervised Deep Learning Models for Anomaly and Change Detection in Radiology T Di Noto

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