| Encapsulation-free controlled release: Electrostatic adsorption eliminates the need for protein encapsulation in PLGA nanoparticles MM Pakulska, I Elliott Donaghue, JM Obermeyer, A Tuladhar, ... Science advances 2 (5), e1600519, 2016 | 157 | 2016 |
| Co-expression vs. co-infection using baculovirus expression vectors in insect cell culture: Benefits and drawbacks S Sokolenko, S George, A Wagner, A Tuladhar, JMS Andrich, MG Aucoin Biotechnology advances 30 (3), 766-781, 2012 | 109 | 2012 |
| Supervised machine learning tools: a tutorial for clinicians LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ... Journal of Neural Engineering 17 (6), 062001, 2020 | 108 | 2020 |
| A hydrogel composite system for sustained epi-cortical delivery of Cyclosporin A to the brain for treatment of stroke MJ Caicco, MJ Cooke, Y Wang, A Tuladhar, CM Morshead, MS Shoichet Journal of Controlled Release 166 (3), 197-202, 2013 | 102 | 2013 |
| Circumventing the blood–brain barrier: Local delivery of cyclosporin A stimulates stem cells in stroke-injured rat brain A Tuladhar, CM Morshead, MS Shoichet Journal of controlled release 215, 1-11, 2015 | 82 | 2015 |
| Injectable hydrogel enables local and sustained co-delivery to the brain: Two clinically approved biomolecules, cyclosporine and erythropoietin, accelerate functional recovery … A Tuladhar, JM Obermeyer, SL Payne, RCW Siu, S Zand, CM Morshead, ... Biomaterials 235, 119794, 2020 | 61 | 2020 |
| Local delivery of brain-derived neurotrophic factor enables behavioral recovery and tissue repair in stroke-injured rats JM Obermeyer, A Tuladhar, SL Payne, E Ho, CM Morshead, MS Shoichet Tissue Engineering Part A 25 (15-16), 1175-1187, 2019 | 48 | 2019 |
| Harnessing the potential of biomaterials for brain repair after stroke A Tuladhar, SL Payne, MS Shoichet Frontiers in Materials 5, 14, 2018 | 44 | 2018 |
| Initial cell maturity changes following transplantation in a hyaluronan-based hydrogel and impacts therapeutic success in the stroke-injured rodent brain SL Payne, A Tuladhar, JM Obermeyer, BV Varga, CJ Teal, CM Morshead, ... Biomaterials 192, 309-322, 2019 | 43 | 2019 |
| Building machine learning models without sharing patient data: a simulation-based analysis of distributed learning by ensembling A Tuladhar, S Gill, Z Ismail, ND Forkert, ... Journal of biomedical informatics 106, 103424, 2020 | 37 | 2020 |
| Estimation of mental effort in learning visual search by measuring pupil response T Takeuchi, T Puntous, A Tuladhar, S Yoshimoto, A Shirama PloS one 6 (7), e21973, 2011 | 35 | 2011 |
| Automatic segmentation of stroke lesions in non-contrast computed tomography datasets with convolutional neural networks A Tuladhar, S Schimert, D Rajashekar, HC Kniep, J Fiehler, ND Forkert IEEE Access 8, 94871-94879, 2020 | 32 | 2020 |
| The effect of retinal illuminance on visual motion priming T Takeuchi, A Tuladhar, S Yoshimoto Vision Research 51 (10), 1137-1145, 2011 | 24 | 2011 |
| An analysis of the vulnerability of two common deep learning-based medical image segmentation techniques to model inversion attacks N Subbanna, M Wilms, A Tuladhar, ND Forkert Sensors 21 (11), 3874, 2021 | 16 | 2021 |
| Biomaterials driving repair after stroke A Tuladhar, MS Shoichet Nature materials 17 (7), 573-574, 2018 | 12 | 2018 |
| Modeling neurodegeneration in silico with deep learning A Tuladhar, JA Moore, Z Ismail, ND Forkert Frontiers in Neuroinformatics 15, 748370, 2021 | 9 | 2021 |
| Investigating the vulnerability of federated learning-based diabetic retinopathy grade classification to gradient inversion attacks C Nielsen, A Tuladhar, ND Forkert International Workshop on Ophthalmic Medical Image Analysis, 183-192, 2022 | 7 | 2022 |
| Dementia in convolutional neural networks: using deep learning models to simulate neurodegeneration of the visual system JA Moore, A Tuladhar, Z Ismail, P Mouches, M Wilms, ND Forkert Neuroinformatics 21 (1), 45-55, 2023 | 6 | 2023 |
| Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients A Gutierrez, A Tuladhar, M Wilms, D Rajashekar, MD Hill, A Demchuk, ... International Journal of Computer Assisted Radiology and Surgery 18 (5), 827-836, 2023 | 5 | 2023 |
| An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction R Souza, P Mouches, M Wilms, A Tuladhar, S Langner, ND Forkert Journal of the American Medical Informatics Association 30 (1), 112-119, 2023 | 5 | 2023 |
Molly shoichetUniversity of Toronto在 utoronto.ca 的电子邮件经过验证
