Tootfinder

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR
Wangbin Ding, Lei Li, Junyi Qiu, Bogen Lin, Mingjing Yang, Liqin Huang, Lianming Wu, Sihan Wang, Xiahai Zhuang
https://arxiv.org/abs/2507.02289

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR
Myocardial infarction (MI) is a leading cause of death worldwide. Late gadolinium enhancement (LGE) and T2-weighted cardiac magnetic resonance (CMR) imaging can respectively identify scarring and edema areas, both of which are essential for MI risk stratification and prognosis assessment. Although combining complementary information from multi-sequence CMR is useful, acquiring these sequences can be time-consuming and prohibitive, e.g., due to the administration of contrast agents. Cine CMR is …

Un financement participatif pour une chaine youtube qui fait du 40k Warhammer 40K narratif – Saison 2 en qualité ciné - Ulule
https://fr.ulule.com/warhammer-40k-narratif-saison-2-en-qualite-cine/

Warhammer 40K narratif – Saison 2 en qualité ciné
Aidez-nous à créer une saison 2 digne d’un film : Des Parties de Wargame Présentées comme une série d'action, bourrée de surprises.

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model
Swakshar Deb, Nian Wu, Frederick H. Epstein, Miaomiao Zhang
https://arxiv.org/abs/2507.02003

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model
This paper presents a novel motion feature guided diffusion model for unpaired video-to-video translation (MFD-V2V), designed to synthesize dynamic, high-contrast cine cardiac magnetic resonance (CMR) from lower-contrast, artifact-prone displacement encoding with stimulated echoes (DENSE) CMR sequences. To achieve this, we first introduce a Latent Temporal Multi-Attention (LTMA) registration network that effectively learns more accurate and consistent cardiac motions from cine CMR image videos.…

🇺🇦 #NowPlaying on KEXP's #Early
Ennio Morricone:
🎵 Man With A Harmonica
#EnnioMorricone
https://cine-trio.bandcamp.com/track/man-with-a-harmonica-from-once-upon-a-time-in-the-west
https://open.spotify.com/track/7HCb6Wb2iua5znLk8Cb7yA

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning
Mark Wrobel (UCL Centre for Translational Cardiovascular Imaging, University College London), Michele Pascale (UCL Centre for Translational Cardiovascular Imaging, University College London), Tina Yao (UCL Centre for Translational Cardiovascular Imaging, University College London), Ruaraidh Campbell (UCL Centre for Translational Cardiovascular Imaging, Univers…

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning
Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital heart disease uses 2D, breath-hold, balanced steady state free precession (bSSFP) cine imaging for assessment of function and cardiac-gated, respiratory-navigated, static 3D bSSFP whole-heart imaging for anatomical assessment. Our aim is to concatenate a stack 2D free-breathing real-time cines and use Deep Learning (DL) to create an isotropic a fully segmented 3D cine dataset from these images. Methods…

Sebastišn Lelio, director de ‘La Ola’: “Estamos en un momento de venganza particularmente contra las mujeres”
https://elpais.com/chile/2025-07-29/sebastian-lelio-director-de-la-ola-estamos-en-un…

Warhammer 40K narratif – Saison 2 en qualité ciné
https://fr.ulule.com/warhammer-40k-narratif-saison-2-en-qualite-cine/?utm_campaign=presale_213407&utm_source=shared-from-Ulule-news_a…

Warhammer 40K narratif – Saison 2 en qualité ciné
Aidez-nous à créer une saison 2 digne d’un film : Des Parties de Wargame Présentées comme une série d'action, bourrée de surprises.

RFK Jr. limits who is eligible for COVID shots (April Rubin/Axios)
https://www.axios.com/2025/08/27/covid-vaccine-2025-fda-recommendation-rfk
http://www.memeorandum.com/250828/p1#a250828p1

Due to a recent post about #friction I've found out about #cinelinux.
Looks like a bilingual Brazilian blog/forum about #VFX and related topics and software solutions on Linux!
They aren'…

Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
Xiaoyue Liu, Xicheng Sheng, Xiahai Zhuang, Vicente Grau, Mark YY Chan, Ching-Hui Sia, Lei Li
https://arxiv.org/abs/2507.15203

Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
Cardiac digital twins (CDTs) provide personalized in-silico cardiac representations and hold great potential for precision medicine in cardiology. However, whole-heart CDT models that simulate the full organ-scale electromechanics of all four heart chambers remain limited. In this work, we propose a weakly supervised learning model to reconstruct 4D (3D+t) heart mesh directly from multi-view 2D cardiac cine MRIs. This is achieved by learning a self-supervised mapping between cine MRIs and 4D ca…

Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
Yilin Lyu, Fan Yang, Xiaoyue Liu, Zichen Jiang, Joshua Dillon, Debbie Zhao, Martyn Nash, Charlene Mauger, Alistair Young, Ching-Hui Sia, Mark YY Chan, Lei Li
https://arxiv.org/abs/2507.15194

Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
Accurate representation of myocardial infarct geometry is crucial for patient-specific cardiac modeling in MI patients. While Late gadolinium enhancement (LGE) MRI is the clinical gold standard for infarct detection, it requires contrast agents, introducing side effects and patient discomfort. Moreover, infarct reconstruction from LGE often relies on sparsely sampled 2D slices, limiting spatial resolution and accuracy. In this work, we propose a novel framework for automatically reconstructing …

A multi-dynamic low-rank deep image prior (ML-DIP) for real-time 3D cardiovascular MRI
Chong Chen, Marc Vornehm, Preethi Chandrasekaran, Muhammad A. Sultan, Syed M. Arshad, Yingmin Liu, Yuchi Han, Rizwan Ahmad
https://arxiv.org/abs/2507.19404

A multi-dynamic low-rank deep image prior (ML-DIP) for real-time 3D cardiovascular MRI
Purpose: To develop a reconstruction framework for 3D real-time cine cardiovascular magnetic resonance (CMR) from highly undersampled data without requiring fully sampled training data. Methods: We developed a multi-dynamic low-rank deep image prior (ML-DIP) framework that models spatial image content and temporal deformation fields using separate neural networks. These networks are optimized per scan to reconstruct the dynamic image series directly from undersampled k-space data. ML-DIP was …

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
Jiahui Yin, Xinxing Cheng, Jinming Duan, Yan Pang, Declan O'Regan, Hadrien Reynaud, Qingjie Meng
https://arxiv.org/abs/2507.17678

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
Myocardial motion tracking is important for assessing cardiac function and diagnosing cardiovascular diseases, for which cine cardiac magnetic resonance (CMR) has been established as the gold standard imaging modality. Many existing methods learn motion from single image pairs consisting of a reference frame and a randomly selected target frame from the cardiac cycle. However, these methods overlook the continuous nature of cardiac motion and often yield inconsistent and non-smooth motion estim…