| An augmented reality system characterization of placement accuracy in neurosurgery NQ Nguyen, J Cardinell, JM Ramjist, P Lai, Y Dobashi, D Guha, ... Journal of Clinical Neuroscience 72, 392-396, 2020 | 28 | 2020 |
| Pipeline embolisation device with shield technology for the treatment of ruptured intracranial aneurysm CR Pasarikovski, G Waggass, J Cardinell, P Howard, L da Costa, ... The neuroradiology journal 32 (3), 189-192, 2019 | 13 | 2019 |
| Medical Augmentation (Med-Aug) for Optimal Data Augmentation in Medical Deep Learning Networks J Lo, J Cardinell, A Costanzo, D Sussman Sensors 21 (21), 7018, 2021 | 12 | 2021 |
| Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation J Lo, S Nithiyanantham, J Cardinell, D Young, S Cho, A Kirubarajan, ... Sensors 21 (13), 4490, 2021 | 8 | 2021 |
| Optical coherence tomography as an adjunct during carotid artery stenting for carotid atherosclerotic disease CR Pasarikovski, J Ramjist, L da Costa, SE Black, J Cardinell, VXD Yang Clinical neuroradiology 30 (3), 503-509, 2020 | 7 | 2020 |
| Perspective review on applications of optics in cerebral endovascular neurosurgery CR Pasarikovski, J Cardinell, VXD Yang Journal of biomedical optics 24 (3), 030601, 2019 | 7 | 2019 |
| Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation B Nichyporuk, J Cardinell, J Szeto, R Mehta, JPR Falet, DL Arnold, ... arXiv preprint arXiv:2210.17398, 2022 | 6 | 2022 |
| Augmented reality and human factors regarding the neurosurgical operating room workflow NQ Nguyen, J Cardinell, JM Ramjist, D Androutsos, VXD Yang Optical Architectures for Displays and Sensing in Augmented, Virtual, and …, 2020 | 6 | 2020 |
| Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation B Nichyporuk, J Cardinell, J Szeto, R Mehta, S Tsaftaris, DL Arnold, ... Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 4 | 2021 |
| Augmented Reality Systems for Improved Operating Room Workflow NQ Nguyen, J Cardinell, J Ramjist, Y Dobashi, D Androutsos, VXD Yang Neurosurgery 66 (Supplement_1), nyz310_414, 2019 | 2 | 2019 |
| Quantification metrics for telangiectasia using optical coherence tomography JL Cardinell, JM Ramjist, C Chen, W Shi, NQ Nguyen, T Yeretsian, ... Scientific Reports 12 (1), 1-10, 2022 | 1 | 2022 |
| Consensus Learning with Multi-Rater Labels for Segmenting and Detecting New Lesions B Nichyporuk, K Vasilevski, A Hu, C Myers-Colet, J Cardinell, J Szeto, ... MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | 1 | 2021 |
| Investigating the effect of annotation styles on the generalizability of medical deep learning algorithms. J Cardinell | | 2022 |
| Structural and angiographic optical coherence tomography (OCT) for quantitative analysis of hereditary hemorrhagic telangiectasia (HHT) skin lesions: preliminary findings J Cardinell, C Chen, JM Ramjist, NQ Nguyen, DS Clark, A Curtis, ... ANGIOGENESIS 22 (4), 617-618, 2019 | | 2019 |
