Anup Tuladhar

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Medical Image Segmentation

Convolutional Neural Networks

Top Venues

BrainLes@MICCAI (2)

Medical Imaging: Computer-Aided Diagnosis

Frontiers Neuroinformatics

Publications

Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics 21 (1) (2023)
Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18 (5) (2023)
Alejandro Gutierrez, Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Medical Imaging: Computer-Aided Diagnosis (2022)
Christopher Nielsen, Anup Tuladhar, Nils D. Forkert
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks. OMIA@MICCAI (2022)
Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert
Simulating progressive neurodegeneration in silico with deep artificial neural networks. CogSci (2022)
Samuel Robertson, Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
Stroke lesion localization in 3D MRI datasets with deep reinforcement learning. Medical Imaging: Computer-Aided Diagnosis (2022)
Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D. Forkert
Federated Learning Using Variable Local Training for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert
Modeling Neurodegeneration in silico With Deep Learning. Frontiers Neuroinformatics 15 (2021)
Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils D. Forkert
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks. Sensors 21 (11) (2021)
Raissa Souza, Anup Tuladhar, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils D. Forkert
Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets. BrainLes@MICCAI (2) (2021)
Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics 106 (2020)
Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, Helge C. Kniep, Jens Fiehler, Nils D. Forkert
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. IEEE Access 8 (2020)