Emvae B2B ttyfal, Biqsue B2B Mallie, Justin Verkijk B2B Malou, Sonan & Friends @ Shelter Amsterdam - 27 Dec feat. MALOU (NL), Emvae, ttyfal

#SESH #MALOUNL #Emvae #ttyfal

Patronaatje tot 't Gaatje (NYE) @ Patronaat - 31 Dec feat. Kara Okay, Moxes, Emvae + more

#SESH #KaraOkay #Moxes #Emvae

BASIS/ D Stone/ Emvae & Moxes [extended set]/ Merel Helderman @ BASIS - 06 Feb feat. D Stone, Emvae, Moxes

#SESH #DStone #Emvae #Moxes

Awakenings ADE - Sunday Sessions @ Sugarfactory - 26 Oct feat. Diffrent, LB aka LABAT, Emvae + more

#SESH #Diffrent #LBakaLABAT #Emvae

CONDO by RADION @ RADION - 26 Sep feat. angelboy, Emvae, Katy De Jesus + more

#SESH #angelboy #Emvae #KatyDeJesus

Extensive experiments show that LS-EMVAE outperforms existing baselines in both ECG settings, while 6L-ECG achieves performance comparable to 12L-ECG, unlocking its potential for global PH screening in areas without diagnostic tools. [8/8 of https://arxiv.org/abs/2503.13470v1]

tools. We pre-trained LS-EMVAE on 800,000 publicly available 12L-ECG samples and fine-tuned it for two tasks: 1) PH detection and 2) phenotyping pre-/post-capillary PH, on in-house datasets of 892 and 691 subjects across 12L-ECG and 6L-ECG settings. [7/8 of https://arxiv.org/abs/2503.13470v1]

adaptive latent feature fusion between lead-specific and shared features. Unlike existing approaches, LS-EMVAE makes better predictions on both 12L-ECG and 6L-ECG at inference, making it an equitable solution for areas with limited or no diagnostic [6/8 of https://arxiv.org/abs/2503.13470v1]

pre-trained on large-population 12L-ECG data and fine-tuned on task-specific data (12L-ECG or 6L-ECG). LS-EMVAE models each 12L-ECG lead as a separate modality and introduces a hierarchical expert composition using Mixture and Product of Experts for [5/8 of https://arxiv.org/abs/2503.13470v1]

capturing only shared features while overlooking lead-specific features essential for identifying complex cardiac hemodynamic changes. In this paper, we propose Lead-Specific Electrocardiogram Multimodal Variational Autoencoder (LS-EMVAE), a model [4/8 of https://arxiv.org/abs/2503.13470v1]