Deepthi Rajashekar

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Automatic Segmentation

Attention Deficit Hyperactivity Disorder

Computer Tomography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

MLCN/RNO-AI@MICCAI

IEEE Trans. Medical Imaging

Publications

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)
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. IEEE Trans. Medical Imaging 41 (9) (2022)
Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder. Medical Imaging: Computer-Aided Diagnosis (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)
Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. MLCN@MICCAI (2021)
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder. MIDL (2021)
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. CoRR (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)
Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. MLCN/RNO-AI@MICCAI (2020)
Deepthi Rajashekar, A. Nur Zincir-Heywood, Malcolm I. Heywood
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. ICDM Workshops (2016)