| Evaluating nnU-Net for early ischemic change segmentation on non-contrast computed tomography in patients with Acute Ischemic Stroke H El-Hariri, LASM Neto, P Cimflova, F Bala, R Golan, A Sojoudi, ... Computers in biology and medicine 141, 105033, 2022 | 36 | 2022 |
| Fast spin echo imaging of carotid artery dynamics ME Boesen, LAS Maior Neto, A Pulwicki, J Yerly, RM Lebel, R Frayne Magnetic Resonance in Medicine 74 (4), 1103-1109, 2015 | 12 | 2015 |
| Validation of a machine learning software tool for automated large vessel occlusion detection in patients with suspected acute stroke P Cimflova, R Golan, JM Ospel, A Sojoudi, C Duszynski, I Elebute, ... Neuroradiology 64 (12), 2245-2255, 2022 | 7 | 2022 |
| A portable system to support electrocardiography in emergency care R Pequeno, N Carvalho, K Galdino, C De Almeida, L Maior, B Polanski, ... 2015 IEEE 28th International Symposium on Computer-Based Medical Systems …, 2015 | 4 | 2015 |
| Validation of a Novel Multiphase CTA Perfusion Tool Compared to CTP in Patients With Suspected Acute Ischemic Stroke Faysal, J Zhang, NN Pinky, F Bala, I Alhabli, R Golan, LAS Maior Neto, ... Stroke: Vascular and Interventional Neurology, 2023 | 2 | 2023 |
| Multiphase CT Angiography Perfusion Vs. CT Perfusion In Predicting Final Infarction In Acute Stroke Patients LA Souto Maior Neto, H El-Hariri, R Golan, SH Mousavi, ... Stroke 53 (Suppl_1), A131-A131, 2022 | 1 | 2022 |
| Abstract WP100: Automatic Large Vessel Occlusion Detection On Computed Tomography Angiography Using A 3D Convolutional Neural Network R Golan, P Cimflova, JM Ospel, F Bala, I Elebute, C Duszynski, A Sojoudi, ... Stroke 53 (Suppl_1), AWP100-AWP100, 2022 | 1 | 2022 |
| A method for intelligent support to medical diagnosis in emergency cardiac care LASM Neto, R Pequeno, C Almeida, K Galdino, F Martins, AV de Moura 2017 international joint conference on neural networks (IJCNN), 4587-4593, 2017 | 1 | 2017 |
| Abstract WMP72: Accurate LVO and MeVO Detection Using a Multiphase CT Angiography Perfusion-Based Tool LA Souto Maior Neto, R Golan, M Usman Sadiq, C Duszynski, BK Menon Stroke 55 (Suppl_1), AWMP72-AWMP72, 2024 | | 2024 |
| MULTIPHASE CT ANGIOGRAPHY PERFUSION FOR OCCLUSION DETECTION AND THROMBUS LOCALIZATION LA Souto Maior Neto, R Golan, F Bala, MU Sadiq, C Duszynski, B Menon INTERNATIONAL JOURNAL OF STROKE 18 (3), 220-220, 2023 | | 2023 |
| Unboxing the" Black Box": Learning Interpretable Deep Learning Features of Brain Aging L Souto Maior Neto | | 2019 |
| Variational vs Adversarial Autoencoders for Visualization and Interpretation of Deep Learning Features of Brain Aging RF LA Souto Maior Neto, M Salluzzi, M Bento https://www.ismrm.org/19/program_files/PP22.htm, 2019 | | 2019 |
| Automatic End Systolic Phase Detection on Short Axis CMR Images based on Minimum Endocardium Area of Middle Slice Performs Well Compared to Manual Analysis SP Luis Souto Maior, Alireza Sojoudi, Amin Ghazanfari, Rotem Golan, Alborz ... https://www.eventscribe.com/2019/SCMR/fsPopup.asp?efp=SkxPQllETFA2NzYy …, 2018 | | 2018 |
| Adversarial Variational Autoencoder for Visualizing and Interpreting Deep Features of Brain Aging RF Luis A. Souto Maior Neto, Mariana Bento, David Gobbi, Marina Salluzzi https://www.ismrm.org/workshops/2018/Machine2/program.htm, 2018 | | 2018 |
| Analysis of White Matter Hyperintensities origin: Vascular or Inflammatory RF Mariana Bento, Luis Souto Maior, Cheryl McCreary, Marina Salluzzi | | 2018 |
| Unsupervised Learning of Brain Age on Magnetic Resonance Images LAS Maior Neto | | 2018 |
| Brain-based age prediction as a cognitive disease biomarker with deep learning: a longitudinal study RF LA Souto Maior Neto, D Gobbi, M Salluzzi, M Bento https://static1.squarespace.com/static/55c24a34e4b0ac1d877415ad/t …, 2018 | | 2018 |
| Classifying Brain MR Sequences for Quality Control on Medical Imaging Datasets: A Hybrid CNN-SVM Model RF Luis A. Souto Maior Neto, Heather Charette, Marina Salluzzi, Mariana Bento | | 2018 |
| Automatic brain MR sequence classification for quality control using support vector machines and convolutional neural networks RF LA Souto Maior Neto, H Charette, M Salluzzi, M Bento | | 2017 |
| Feature Extraction using Convolutional Networks for Identifying Carotid Artery Atherosclerosis Patients in a Heterogeneous Brain MR Dataset RF M Bento, LA Souto Maior Neto, M Salluzzi, Y Zhang | | 2017 |
Richard FrayneHopewell Professor of Radiology, Hotchkiss Brain Institute, University of Calgary在 ucalgary.ca 的电子邮件经过验证
