Twitter Beğeni Hilesi

A new solution to challenges in 3D+T CMR Segmentation "STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation"， IEEE Journal of Biomedical and Health Informatics, 2023 researchgate.net/publication/37…

ITN Editor Case Western Shuo Li With a new grant from #NSF, researchers at #CaseWesternReserveUniversity hope to develop an #ArtificialInteligence alternative that generates virtual contrast-enhanced images without #chemical agents: itnonline.com/content/case-w…

Don't miss these keynotes at #SPIEMedicalImaging 2024! 🔸 David Holdsworth (Western University) on medical imaging applications for additive manufacturing 🔸 Shuo Li (Shuo Li, Case Western Reserve) on shaping state-of-the-art AI solutions in medical imaging Learn more: spie.org/MI-Plenary-Eve…

I look forward to meeting everyone in SPIE in two weeks!

I look forward to discussing the foundation model in medical imaging AI with you at next week's SPIE medical imaging conference.

“I will tell you the secret of SPIE: they save the best talk for last!” The final keynote speaker of #SPIEMedicalImaging, Shuo Li of CWRU Biomedical Engineering, takes the stage to discuss the impact of vision-language AI models in medical imaging. ✨

The first domain continual medical image segmentation method, mitigating catastrophic forgetting. "Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation"， Medical Image Analysis, 2024

IEEE CAI 2024 Workshop on Foundation Models for Healthcare (FM4H), Singapore, June 2024 Call for Papers!

🚀 Big news! Our AI Contrast Agent project was interviewed and featured in nature! 7 years, pioneering research across MRI to ultrasound, multiple awards, and impactful publications: dropbox.com/scl/fi/kks5ece…. Thanks to our incredible team! #Innovation #AI #MedicalImaging

Excited to host Prof. Nassir Navab for a special invited talk on Machine Learning in Intra-operative Imaging, part of our Distinguished Speaker Series! 🚀🏥 📅 April 30, 11:30 AM EST 🔗 Join us: cwru.zoom.us/s/97948189892🔑 Passcode: 876631 Don't miss out!

The first fully automated alignment of coronary angiography and intravascular ultrasound. "CMAR: A Pipeline for Cross-Modal Alignment and 3D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements"，IEEE TIM, 2024 researchgate.net/publication/38…

A novel "Class-consistent Contrastive Learning driven Cross-dimensional Transformer for 3D Medical Image Classification"，IJCAI, 2024 researchgate.net/publication/38…

A novel Multi-Instance Transformer for Histopathological Subtype Prediction! #AI #MedicalImaging #Research #HealthcareInnovation "MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction"，medical image analysis, 2024 researchgate.net/publication/38…

How can you fuse interpretable domain knowledge into our machine learning? We might have a solution, our recent publication in medical image analysis, 2024 researchgate.net/publication/38… #MedicalResearch #AI #Healthcare #Innovation #MedicalImaging

Different diseases rely on distinct interdependencies and shifts in information flow among modalities. For the first time, we have a novel method to quantify the dependency in ECCV, 2024 researchgate.net/publication/38… #MedicalResearch #AI #Healthcare #Innovation #MedicalImaging

The 1st virtual AI contrast-enhanced multiphase liver MRI. Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion, IEEE JBHI, 2024 researchgate.net/publication/38… #MedicalResearch #AI #Healthcare #Innovation #MedicalImaging

MICCAI oral: A new diffusion model combing both frequency domain and spatial domain Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction researchgate.net/publication/38… #AI #Healthcare #Innovation #MedicalImaging

MICCAI: Fuse causality learning in transformer to solve the current challenges in medical image diagnosis Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis, MICCAI, 2024 researchgate.net/publication/38… #MedicalResearch #AI #Healthcare #Innovation #MedicalImaging

MICCAI: Causality learning + vision language model "CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment", MICCAI, 2024 researchgate.net/publication/38… #AI #healthcare #MedicalImaging

MICCAI 2024: Fuse causality learning in the transformer to solve the current challenges in medical image diagnosis "Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis" researchgate.net/publication/38… #MedicalResearch #AI #Healthcare #Innovation #MedicalImaging