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…

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

Youngung Han, Induk Um, Kyeonghun Kim +9

The paper introduces MMA-Former, a 3D transformer model with a multi-window mixture-of-head attention mechanism, to predict perineural invasion from T1-weighted MRI scans.

MATHENA: Mamba-based Architectural Tooth Hierarchical Estimator and Holistic Evaluation Network for Anatomy

Kyeonghun Kim, Jaehyung Park, Youngung Han +17

COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving

Seohyoung Park, Jaeyeol Lim, Seoyoung Ju +3

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

FOSCU: Feasibility of Synthetic MRI Generation via Duo-Diffusion Models for Enhancement of 3D U-Nets in Hepatic Segmentation

Youngung Han, Kyeonghun Kim, Seoyoung Ju +8

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…

A weighted Sobolev regularity theory of the parabolic equations with measurable coefficients on conic domains in $R^d$

Kyeonghun Kim, Kijung Lee, Jinsol Seo

NEMESIS: Noise-suppressed Efficient MAE with Enhanced Superpatch Integration Strategy

Kyeonghun Kim, Hyeonseok Jung, Youngung Han +9

LEXIC: Lightweight Eye-tracking eXtension via Injected Complexity

Sumin Lee, Kyeonghun Kim, Subeen Lee +4

MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning

Kyeonghun Kim, Hyeonseok Jung, Youngung Han +14

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

LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI

Youngung Han, Hyunsu Go, Kyeonghun Kim +9

The paper introduces LoSA-Net, a neural network that uses localized self‑attention and scale‑adaptive processing to improve detection of perineural invasion boundaries in 3D contra…

CIPHER: Counterfeit Image Pattern High-level Examination via Representation

Kyeonghun Kim, Youngung Han, Seoyoung Ju +9

ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification

Anna Jung, Kyeonghun Kim, Youngung Han +5

An lp-boundedness of stochastic singular integral operators and its application to spdes

Ildoo Kim, Kyeonghun Kim

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…