Results 241 to 250 of about 216,477 (342)
Recurrent cardiac lymphoma: cardiovascular magnetic resonance as a diagnostic key. [PDF]
Martins AM +3 more
europepmc +1 more source
Interplay Between Structure and Interfacial Interactions in Fe‐Gd Synthetic Ferrimagnets
Synthetic ferrimagnets with nearly identical Gd–Fe compositions but different architectures and crystallinity were investigated by element‐resolved microscopy, structural analysis and atomistic spin simulations. The results show that Curie temperature and domain evolution are governed primarily by structural order and interface quality, demonstrating ...
Álvaro González‐García +10 more
wiley +1 more source
Non-Contrast MR T2-Weighted Imaging Is as Accurate as Contrast-Enhanced T1-Weighted Imaging in the Detection of Meningioma Growth. [PDF]
Dijkstra BM +5 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Native T1-rho mapping for myocardial scar detection in patients with probable or confirmed coronary artery disease. [PDF]
Prapan N +7 more
europepmc +1 more source
ROC analyses of APRI score, EOB‐MRI, and a combination of EOB‐MRI and APRI score for blue liver. ABSTRACT Aim Sinusoidal obstruction syndrome (SOS), also known as “blue liver (BL),” is a common hepatic injury following oxaliplatin‐based chemotherapy in patients with colorectal liver metastases (CRLM).
Tomonari Shimagaki +7 more
wiley +1 more source
Tiger-like late gadolinium enhancement pattern in aborted myocardial infarction. [PDF]
Tsintsadze S +3 more
europepmc +1 more source
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu +6 more
wiley +1 more source

