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From the 1 of 7 linked papers with an AI index.

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7 papers

physics.med-ph2026

An Angular Spectrum Method for Nonlinear Propagation in Heterogeneous Tissue with Immersed Sources for Ultrasound

Gianmarco Pinton

A modified angular spectrum method (ASM) is developed for three-dimensional nonlinear acoustic propagation through heterogeneous tissue, targeting transcranial and therapeutic ultr…

physics.med-ph2026

An open-source framework for predicting ultrasound neuromodulation: bridging tissue elastomechanics and neuron firing dynamics

Gianmarco Pinton

Transcranial focused ultrasound is a non-invasive neuromodulation modality with millimetre-scale resolution, but its biophysical mechanism of action remains unresolved. Exposure is…

physics.med-ph2026

A reduced viscoelastic FDTD formulation for ultrasound-driven shear wave propagation in soft tissue

Gianmarco Pinton

The paper introduces a reduced viscoelastic finite-difference time-domain (FDTD) method that efficiently models ultrasound‑driven shear wave propagation in soft tissue, focusing on…

cs.LG2026

IQ-JEPA: A Joint-Embedding Predictive Architecture with a Hermitian Vision Transformer for Sound Speed and Attenuation Estimation from Ultrasound IQ Data

Masashi Sode, Gianmarco Pinton

The speed of sound in tissue is a prerequisite for well-focused imaging and has diagnostic value, but recovering it from raw pulse-echo channel data is fundamentally a nonlinear in…

physics.med-ph2026

Spatially heterogeneous power-law attenuation with multiple relaxation mechanisms for ultrasound modeling

Masashi Sode, Gianmarco Pinton

Objective. The soft tissue attenuation laws have a magnitude and frequency dependence that varies across tissue types and generally follow power laws. An accurate model of ultrasou…

physics.med-ph2026

mach: ultrafast ultrasound beamforming

Charles Guan, Alexander P. Rockhill, Masashi Sode +1

Purpose: Volumetric ultrafast ultrasound produces massive datasets with high frame rates, dense reconstruction grids, and large channel counts. Beamforming computational demands li…