Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. - Deepthi Rajashekar; Nur Zincir-Heywood; Malcolm I. Heywood (ICDM Workshops, 2016)

Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. - Matthias Wilms; Jordan J. Bannister; Pauline Mouches; M. Ethan MacDonald; Deepthi Rajashekar; Sönke Langner; Nils D. Forkert (MLCN/RNO-AI@MICCAI, 2020)

Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. - Anup Tuladhar; Serena Schimert; Deepthi Rajashekar; Helge C. Kniep; Jens Fiehler; Nils D. Forkert (IEEE Access, 2020)

Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. - Matthias Wilms; Pauline Mouches; Jordan J. Bannister; Deepthi Rajashekar; Sönke Langner; Nils D. Forkert (MLCN@MICCAI, 2021)

Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder. - Pauline Mouches; Matthias Wilms; Deepthi Rajashekar; Sönke Langner; Nils Daniel Forkert (MIDL, 2021)

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. - Alejandro Gutierrez; Anup Tuladhar; Deepthi Rajashekar; Nils D. Forkert (Computer-Aided Diagnosis, 2022)

Stroke lesion localization in 3D MRI datasets with deep reinforcement learning. - Samuel Robertson; Anup Tuladhar; Deepthi Rajashekar; Nils D. Forkert (Computer-Aided Diagnosis, 2022)

A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder. - Emma A. M. Stanley; Deepthi Rajashekar; Pauline Mouches; Matthias Wilms; Kira Plettl; Nils D. Forkert (Computer-Aided Diagnosis, 2022)

Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. - Matthias Wilms; Jordan J. Bannister; Pauline Mouches; M. Ethan MacDonald; Deepthi Rajashekar; Sönke Langner; Nils D. Forkert (IEEE Trans. Medical Imaging, 2022)

Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks. - Anup Tuladhar; Serena Schimert; Deepthi Rajashekar; Helge C. Kniep; Jens Fiehler; Nils D. Forkert (IEEE DataPort, 2022)

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. - Alejandro Gutierrez; Anup Tuladhar; Matthias Wilms; Deepthi Rajashekar; Michael D. Hill; Andrew Demchuk; Mayank Goyal; Jens Fiehler; Nils D. Forkert (Int. J. Comput. Assist. Radiol. Surg., 2023)