Stroke

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3 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Stroke.

39 papers

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LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net
Sep 9, 2026Giorgi Nikvashvili, Hanxue Gu, Jie Bao +2Lesion Segmentation U-Net
Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness
Aug 31, 2026Anh T. Nguyen, Zihua Sun, Michelle J. JohnsonElectroencephalography Foundation Models Stroke
Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry
Aug 31, 2026Kihun RheeOffline Safe Reinforcement Learning Stroke
Draw This First
Aug 12, 2026Dazhi Zhong, Rowan Bradbury, Grant DavisSketches Order Matters
Recovering Lesion Parameters from Aphasic Picture Naming Error Profiles in Large Language Models
Aug 5, 2026Yong Yang, Roger Newman-Norlund, Xiang Guan +10Large Language Models Fail LLM Reasoning Methods
From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction
Aug 5, 2026Esra Zihni, Katryna Cisek, Hamzah Ziadeh +3Prognostics Stroke
Sensor-Placement-Agnostic Sonomyography: Toward Continuous High-Dimensional Control by Users with Tetraplegia
Jul 29, 2026Gavin Sueltz, Vikram Athithan, Emma Ferran +3Legged Stroke
Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by noninvasive brain imaging
Jul 27, 2026Parth G. Dangi, Yogesh Kumar MeenaBrain-Computer Interface Stroke
Human-Inspired Framework for Robotic Craniotomy: Integrating Multimodal Fusion and Adaptive Trajectory Adjustment
Jul 23, 2026Renzhen Le, Xiao Zhang, Di Wu +5Robot-Assisted Minimally Invasive Surgery Continuum Robots
FSB-Net: Frequency-Spatial Boundary Network for Brain Stroke Lesion Segmentation in Non-Contrast CT
Jul 23, 2026Linke Fan, Xianglong Li, Huixin Huang +1Brain Tumor Segmentation Stroke
StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows
Jul 22, 2026Youwan Mahé, Axel Plessis, Stéphanie Leplaideur +3Brain Tumor Segmentation Stroke
Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge
Jul 14, 2026Inhwa Son, Gaeun Lee, Sohyeon Sim +1Brain Tumor Segmentation Lesion Segmentation
Generating Personalized Lower-Limb Kinematics Across Walking Speeds Using Subject-Conditioned Diffusion
Jul 8, 2026Diya Dinesh, Adrian Krieger, Changseob Song +3Gait Dynamics Exoskeleton
A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication
Jul 6, 2026Avina Nakarmi, Sohom Sen, Xun Song +2Chart Multimodal Reasoning
BREIT: A Framework for Brain Stroke Reconstruction using Multi-Frequency 3D EIT
Jun 27, 2026Djahid Abdelmoumene, Ishak Ayad, Maï K. Nguyen +1Stroke Electroencephalogram
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Jun 25, 2026Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh +5Intrahepatic Cholangiocarcinoma Machine Learning
HandwritingAgent: Language-Driven Handwriting Synthesis in Scalable Vector Space
Jun 17, 2026Jaward Sesay, Yue Yu, Börje F. KarlssonHandwriting Stroke
DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis
Jun 15, 2026Jun-En Ding, Spencer Chen, Henry Noren +6Seizure Detection Stroke
Multi-Task Tennis Stroke Biomechanics Analysis Using MediaPipe Pose
Jun 14, 2026Jigyashman HazarikaTable Tennis Robot Stroke
Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks
Jun 12, 2026Junyong Cao, Hakim Baazaoui, Chinmay Prabhakar +5Digital Subtraction Angiography Stroke
Estimating Individualized Treatment Effects in Acute Ischemic Stroke with Causal Transformation Models (TRAM-DAG): A Multi-Centre Observational Study with External RCT Validation
Jun 10, 2026Lisa Herzog, Oliver Dürr, Pascal Bühler +4Stroke Heterogeneous Treatment Effects
LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines
Jun 8, 2026Giorgio Leonardi, Stefania Montani, Manuel Striani +2Stroke
StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-contrast CT
Jun 3, 2026Weiru Wang, Susanne G. H. Olthuis, Elizaveta Lavrova +4Stroke Neuroimaging Models
GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction
Jun 1, 2026Boyu Yuan, Jiamiao Lu, Weichuan Zhang +5Stroke Magnetic Resonance Imaging
An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke
May 30, 2026Thijs StessenNeural Network Emulator Stroke
On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series
May 25, 2026Sharmita Dey, Diego Paez-GranadosModel Pretraining Representation Learning
BCI-Based Assessment of Ocular Response Time Using Dynamic Time Warping Leveraging an RDWT-Driven Deep Neural Framework
May 14, 2026Shantanu Sarkar, Sai Shashank Gandavarapu, Jeff Feng +3Eye Tracking Electroencephalogram
Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke
May 14, 2026Liren Chen, Lidong Sun, Mingyan Huang +5Multi-Modal Fusion Multimodal Clinical Data
Agentic Pipeline for Self-Synchronized Multiview Joint Angle Monitoring in Uncalibrated Environments
May 14, 2026Juncheng Yu, Lusi A, Haoxuan Xie +1Multi-View Paired Supervision
PA-TCNet: Pathology-Aware Temporal Calibration with Physiology-Guided Target Refinement for Cross-Subject Motor Imagery EEG Decoding in Stroke Patients
Apr 17, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Electroencephalogram Stroke
Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings
Apr 16, 2026Wenhui Cui, Nicholas Swingle, Anand A. Joshi +2Seizure Detection Clinical Prediction
Low-Dose CT for Stroke Diagnosis: A Dual-Pipeline Deep Learning Framework for Portable Neuroimaging
Mar 24, 2026Rhea Ghosal, Ronok Ghosal, Eileen LouPositron Emission Tomography Computed Tomography
Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
Mar 10, 2026Junhyeok Lee, Minseo Choi, Han Jang +5Conventional Physics-Informed Neural Networks Uncertainty Quantification
Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction
Jun 18, 2025Vincent Roca, Marc Tommasi, Paul Andrey +8Brain Age Stroke
Explainability in mulimodal deep transformation models for stroke outcome prediction
Apr 7, 2025Lisa Herzog, Jonas Brändli, Maurice Schneeberger +7Concept-Based Explainability Stroke
Stroke Prediction using Clinical and Social Features in Machine Learning
Dec 27, 2024Aidan ChadhaClinical Prediction Stroke
Enhancing brain age estimation with structural MRI and synthesized cerebral blood volume maps
Dec 1, 2024Jordan Jomsky, Zongyu Li, Kay C. Igwe +8Brain Age Magnetic Resonance Imaging
In-Hospital Stroke Risk-State Classification from PPG-Derived Hemodynamic Features
Date pendingJiaming Liu, Cheng Ding, Jian Wu +2Stroke Remote Photoplethysmography
Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification
Date pendingMehedi Hasan Tusar, Fateme Fayyazbakhsh, Igor Melnychuk +1Multimodal Wound Analysis Multi-Modal Semantic Segmentation

Sep 9, 2026 · cs.CVJ/K move · Enter open · S save

LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net

Giorgi Nikvashvili, Hanxue Gu, Jie Bao, Kang Wang+1

Large networks and ensembles often lead medical image segmentation challenges, but their storage and inference demands complicate deployment. We present LightMedSeg-ISLES, a 1.26-million-parameter pipeline for T1-weighted stroke lesion segmentation in ISLES'26. On a 146-case held-out cohort, flip test-time augmentation produces 0.618 mean Dice and 0.599 lesion-wise F1. A 102.35-million-parameter nnU-Net ResEnc-L produces 0.634 Dice and 0.544 lesion-wise F1 after size filtering. LightMedSeg therefore retains 97.5% of nnU-Net's Dice with 81.4

\times

fewer parameters while improving lesion-wise F1 by 0.055. Its four-pass TTA operating point requires 4.7

\times

fewer FLOPs per standardized patch than nnU-Net. It also slightly exceeds filtered UNETR++ and nnFormer. Longer training and stronger augmentation add 0.0358 Dice without increasing capacity, establishing a strong single-checkpoint alternative to much larger models.

Lesion Segmentation U-Net Brain Tumor Segmentation Stroke Data Augmentation

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