The big bang of deep learning in ultrasound-guided surgery: a review

N Masoumi, H Rivaz, I Hacihaliloglu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and
percutaneous interventions, thanks to its high portability, temporal resolution, and cost …

Deep Learning-Based Segmentation Of Brain Tumor

H Kouser, V Mansotra - Journal of Scientific Research and …, 2023 - jsrtjournal.com
The classification and segmentation of images have received a lot of attention. For this, a
variety of techniques have been used. Image segmentation is extremely useful, particularly …

[HTML][HTML] BrainPixGAN: generating intraoperative MRI images with mask-based generative networks

AG Eker, MK Pehlivanoğlu, N Duru… - Engineering Science and …, 2024 - Elsevier
In recent years, efforts to enhance precision in brain tumor surgeries have focused on using
artificial intelligence (AI) with medical imaging. This involves integrating AI with medical …

Dual-mode Imaging System for Early Detection and Monitoring of Ocular Surface Diseases

Y Li, PW Chiu, V Tam, A Lee… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The global prevalence of ocular surface diseases (OSDs), such as dry eyes, conjunctivitis,
and subconjunctival hemorrhage (SCH), is steadily increasing due to factors such as aging …

Inter-Contrast and Inter-Modal Medical Image Registrations: From Traditional Energy-Based to Deep Learning Methods

N Masoumi - 2023 - spectrum.library.concordia.ca
Image registration is a crucial step in many medical image processing pipelines. The
process aligns images of the same tissue taken at different times or with different imaging …

[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 …

BrainPixGAN: Generating Intraoperative MR with Mask-Based Generative Networks

AG Eker, MK Pehlivanoglu, N Duru, TT Dundar - 2024 - researchsquare.com
In recent years, there has been a significant focus on enhancing precision in brain tumor
surgical treatments by utilizing artificial intelligence (AI) techniques. This involves integrating …

Automated Segmentation of Brain Tissues from MRI Scans

R Kumar, S Bishnoi, R Mishra, D Mehta - International Conference on …, 2023 - Springer
Automated segmentation of brain tissues from Magnetic Resonance Imaging (MRI) scans is
critical for scientific picture evaluation. It enhances the accuracy of anatomical segmentation …