6 citations · 8 across the 6 of their papers we have counts for
6 papers
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun +1
Deep learning (DL) models have been advancing automatic medical image analysis on various modalities, including echocardiography, by offering a comprehensive end-to-end training pi…
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
Aleksandr Matsun, Numan Saeed, Fadillah Adamsyah Maani +1
Medical data often exhibits distribution shifts, which cause test-time performance degradation for deep learning models trained using standard supervised learning pipelines. This c…
Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object Detection
Ahmed Sharshar, Aleksandr Matsun
In the realm of aerial image analysis, object detection plays a pivotal role, with significant implications for areas such as remote sensing, urban planning, and disaster managemen…
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa +2
The domain shift between training and testing data presents a significant challenge for training generalizable deep learning models. As a consequence, the performance of models tra…
Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153
Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…
RoboKit-MV: an Educational Initiative
Azer Babaev, Ilya Osokin, Ilya Ryakin +5
In this paper, we present a robot model and code base for affordable education in the field of humanoid robotics. We give an overview of the software and hardware of a robot that w…