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Anup Tuladhar
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2020 – today
- 2023
- [j7]Alejandro Gutierrez
, Anup Tuladhar
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18(5): 827-836 (2023) - [j6]Jasmine A. Moore
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics 21(1): 45-55 (2023) - 2022
- [j5]Raissa Souza
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction. J. Am. Medical Informatics Assoc. 30(1): 112-119 (2022) - [c6]Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert:
Simulating progressive neurodegeneration in silico with deep artificial neural networks. CogSci 2022 - [c5]Alejandro Gutierrez, Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert:
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Computer-Aided Diagnosis 2022 - [c4]Samuel Robertson, Anup Tuladhar
Stroke lesion localization in 3D MRI datasets with deep reinforcement learning. Computer-Aided Diagnosis 2022 - [c3]Christopher Nielsen, Anup Tuladhar
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks. OMIA@MICCAI 2022: 183-192 - [d1]Anup Tuladhar
Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks. IEEE DataPort, 2022 - 2021
- [j4]Anup Tuladhar
Modeling Neurodegeneration in silico With Deep Learning. Frontiers Neuroinformatics 15: 748370 (2021) - [j3]Nagesh Subbanna, Matthias Wilms
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks. Sensors 21(11): 3874 (2021) - [c2]Anup Tuladhar
Federated Learning Using Variable Local Training for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 392-404 - [c1]Raissa Souza
Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets. BrainLes@MICCAI (2) 2021: 420-432 - 2020
- [j2]Anup Tuladhar
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. IEEE Access 8: 94871-94879 (2020) - [j1]Anup Tuladhar
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics 106: 103424 (2020)
Coauthor Index
aka: Nils D. Forkert
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