Anup Tuladhar - RankMe

14 papers B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision Making. CoRR Anup Tuladhar, Araz Minhas, Adam Kirton, Eli Kinney-Lang
2023	J	`jnl`	Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
2023	J	`jnl`	Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert
2022	J	`jnl`	An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction. J. Am. Medical Informatics Assoc. Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert
2022	—	`conf`	Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks. OMIA@MICCAI Christopher Nielsen, Anup Tuladhar, Nils D. Forkert
2022	—	`conf`	Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Computer-Aided Diagnosis Alejandro Gutierrez, Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
2022	B	`conf`	Simulating progressive neurodegeneration in silico with deep artificial neural networks. CogSci Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert
2022	—	`conf`	Stroke lesion localization in 3D MRI datasets with deep reinforcement learning. Computer-Aided Diagnosis Samuel Robertson, Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
2021	J	`jnl`	An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks. Sensors Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils D. Forkert
2021	—	`conf`	Federated Learning Using Variable Local Training for Brain Tumor Segmentation. BrainLes@MICCAI (2) Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D. Forkert
2021	J	`jnl`	Modeling Neurodegeneration in silico With Deep Learning. Frontiers Neuroinformatics Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert
2021	—	`conf`	Multi-institutional Travelling Model for Tumor Segmentation in MRI Datasets. BrainLes@MICCAI (2) Raissa Souza, Anup Tuladhar, Pauline Mouches, Matthias Wilms, Lakshay Tyagi, Nils D. Forkert
2020	J	`jnl`	Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. IEEE Access Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, Helge C. Kniep, Jens Fiehler, Nils D. Forkert
2020	J	`jnl`	Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative