DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images

RA Zeineldin, ME Karar, J Coburger, CR Wirtz… - International journal of …, 2020 - Springer
Purpose Gliomas are the most common and aggressive type of brain tumors due to their
infiltrative nature and rapid progression. The process of distinguishing tumor boundaries …

Domain adaptation for vehicle detection from bird's eye view lidar point cloud data

K Saleh, A Abobakr, M Attia… - Proceedings of the …, 2019 - openaccess.thecvf.com
Point cloud data from 3D LiDAR sensors are one of the most crucial sensor modalities for
versatile safety-critical applications such as self-driving vehicles. Since the annotations of …

Optimal autonomous driving through deep imitation learning and neuroevolution

SMJ Jalali, PM Kebria, A Khosravi… - … on systems, man …, 2019 - ieeexplore.ieee.org
Imitation learning is an efficient paradigm for teaching and controlling intelligent
autonomous cars. Obtaining a set of suitable demonstrations to learn an end-to-end policy …

SDANet: spatial deep attention-based for point cloud classification and segmentation

J Gao, J Lan, B Wang, F Li - Machine Learning, 2022 - Springer
Using deep learning to learn point cloud features directly have become one of the research
hotspots in the field of 3D point cloud processing. The existing methods usually construct …

iRegNet: Non-rigid registration of MRI to interventional US for brain-shift compensation using convolutional neural networks

RA Zeineldin, ME Karar, Z Elshaer… - Ieee …, 2021 - ieeexplore.ieee.org
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …

[PDF][PDF] Deep multimodality image-guided system for assisting neurosurgery

R Zeineldin - 2023 - core.ac.uk
Intrakranielle Hirntumoren gehören zu den zehn häufigsten bösartigen Krebsarten und sind
für eine erhebliche Morbidität und Mortalität verantwortlich. Die größte histologische …

[PDF][PDF] iRegNet: Non-Rigid Registration of MRI to Interventional US for Brain-Shift Compensation Using Convolutional Neural Networks

Z ELSHAER, M SCHMIDHAMMER, JAN COBURGER… - academia.edu
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …

Methods and systems for sensing obstacles in an indoor environment

FF Ebner, A Dey, K Subramanian - US Patent 11,244,470, 2022 - Google Patents
A system of determining a distance between a mobile electronic device and an obstacle in
an environment includes an electronic device, and a computer-readable storage medium …