19 papers
NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification
Youngung Han, Minkyung Cha, Kyeonghun Kim +12
Minimizing invasive diagnostic procedures to reduce the risk of patient injury and infection is a central goal in medical imaging. And yet, noninvasive diagnosis of perineural inva…
3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation
Kyeonghun Kim, Jaehyeok Bae, Youngung Han +10
Deep learning and generative models are advancing rapidly, with synthetic data increasingly being integrated into training pipelines for downstream analysis tasks. However, in medi…
Multiplicity dependence of f(980) production in pp collisions at TeV
ALICE Collaboration
The dependence of (980) production on the final-state charged-particle multiplicity is reported for proton-proton (pp) collisions at the centre-of-mass energy, $\sq…
Measurement of isolated prompt photon production in pp and p-Pb collisions at the LHC
ALICE Collaboration
This paper presents the measurement of the isolated prompt photon inclusive production cross section in pp and p-Pb collisions by the ALICE Collaboration at the LHC. The measuremen…
Study of and its higher moments, and extraction of the speed of sound in Pb-Pb collisions with ALICE
ALICE Collaboration
Ultrarelativistic heavy-ion collisions produce a state of hot and dense strongly interacting QCD matter called quark--gluon plasma (QGP). On an event-by-event basis, the volume of…
Femtoscopic study of the proton-proton and proton-deuteron systems in heavy-ion collisions at the LHC
ALICE Collaboration
This work reports femtoscopic correlations of pp () and pd () pairs measured in PbPb collisions at center-of-mass energy…