medical imaging 2perineural invasion prediction 23d mri 1adaptive routing 1cholangiocarcinoma 1diffusion models 1dual sparsity 1knowledge distillation 1magnetic resonance imaging 1MRI 1perineural invasion 1spiking neural networks 1
From the 3 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Anatomy-Privileged Distillation with Token Routing for MRI-Based Prediction of Perineural Invasion
Hyunsu Go, Youngung Han, Kyeonghun Kim +15
The paper introduces a teacher‑student deep learning framework that uses anatomy‑aware token routing to predict perineural invasion from T2‑weighted MRI without needing segmentatio…
cs.CV2026
SpikeDS: Dual Sparsity Spikformer for Perineural Invasion Prediction in 3D MRI
Induk Um, Youngung Han, Kyeonghun Kim +14
The paper introduces SpikeDS, a spiking neural network with dual sparsity mechanisms to efficiently predict perineural invasion in cholangiocarcinoma from 3D MRI scans, achieving h…
cs.CV2026
Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction
Youngung Han, Dohyun Kweon, Kyeonghun Kim +15
The paper proposes a diffusion‑based transformer model with adaptive routing to predict perineural invasion in cholangiocarcinoma from MRI scans, achieving competitive accuracy whi…