Results 41 to 50 of about 399,973 (265)

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source

Causal Diffusion Models for Generalized Speech Enhancement

IEEE Open Journal of Signal Processing
In this work, we present a causal speech enhancement system that is designed to handle different types of corruptions. This paper is an extended version of our contribution to the “ICASSP 2023 Speech Signal Improvement Challenge”.
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann   +5 more
doaj   +1 more source

A Flexible Diffusion Model

CoRR, 2022
Diffusion (score-based) generative models have been widely used for modeling various types of complex data, including images, audios, and point clouds. Recently, the deep connection between forward-backward stochastic differential equations (SDEs) and diffusion-based models has been revealed, and several new variants of SDEs are proposed (e.g., sub-VP,
Weitao Du, He Zhang, Tao Yang, Yuanqi Du
openaire   +3 more sources

Nephrogenic Rests/Nephroblastomatosis in Patients With Unilateral Wilms Tumor Are Not Associated With an Increased Risk of Relapse: An Analysis of Patients Treated on the SIOP‐WT‐2001 Protocol in the SIOP‐UK‐CCLG and SIOP‐GPOH Studies (2001–2022)

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić, Rhoikos Furtwängler, Tanzina Chowdhury, Christian Vokuhl, Jenny Wegert, Norbert Graf   +5 more
wiley   +1 more source

Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold

Frontiers in Artificial Intelligence
Out-of-distribution (OOD) detection is crucial for enhancing the reliability of machine learning models when confronted with data that differ from their training distribution.
Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger   +2 more
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

EDiffuRec: An Enhanced Diffusion Model for Sequential Recommendation

Mathematics
Sequential recommender models should capture evolving user preferences over time, but there is a risk of obtaining biased results such as false positives and false negatives due to noisy interactions.
Hanbyul Lee, Junghyun Kim
doaj   +1 more source

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no additional memory or inference costs, since models corresponding to data shards can be added or removed
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto   +8 more
openaire   +2 more sources

Neurosymbolic Diffusion Models

CoRR
Accepted to NeurIPS ...
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari   +3 more
openaire   +2 more sources

On the Mathematics of Diffusion Models

CoRR, 2023
This paper gives direct derivations of the differential equations and likelihood formulas of diffusion models assuming only knowledge of Gaussian distributions. A VAE analysis derives both forward and backward stochastic differential equations (SDEs) as well as non-variational integral expressions for likelihood formulas.
openaire   +2 more sources