Deepthi Rajashekar

11 papers Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
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 — conf
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder.
Computer-Aided Diagnosis
Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
2022 J jnl
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging.
IEEE Trans. Medical Imaging
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, 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 — 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 — conf
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.
MLCN@MICCAI
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2021 — conf
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder.
MIDL
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel 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 — conf
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows.
MLCN/RNO-AI@MICCAI
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2020 J jnl
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows.
CoRR
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
2016 — conf
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps.
ICDM Workshops
Deepthi Rajashekar, Nur Zincir-Heywood, Malcolm I. Heywood