output
20142025
most citedUnsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement

83 citations

9 papers

cs.CV2025

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion

Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung +4

Image-to-Image translation models can help mitigate various challenges inherent to medical image acquisition. Latent diffusion models (LDMs) leverage efficient learning in compress…

cs.MA2022★ 5 cited

The emergence of division of labor through decentralized social sanctioning

Anil Yaman, Joel Z. Leibo, Giovanni Iacca +1

Human ecological success relies on our characteristic ability to flexibly self-organize into cooperative social groups, the most successful of which employ substantial specializati…

eess.IV2021★ 83 cited

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement

Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung +1

Recently, deep learning approaches have become the main research frontier for biological image reconstruction and enhancement problems thanks to their high performance, along with…

cs.CV2021★ 78 cited

Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy

Hyoungjun Park, Myeongsu Na, Bumju Kim +4

Volumetric imaging by fluorescence microscopy is often limited by anisotropic spatial resolution from inferior axial resolution compared to the lateral resolution. To address this…

stat.AP2020

GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications

Seongyong Park, Shujaat Khan, Muhammad Moinuddin +1

In many biological applications, the primary objective of study is to quantify the magnitude of treatment effect between two groups. Cohens'd or strictly standardized mean differen…

cs.CV2018★ 6 cited

Multimodal Dual Attention Memory for Video Story Question Answering

Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim +1

We propose a video story question-answering (QA) architecture, Multimodal Dual Attention Memory (MDAM). The key idea is to use a dual attention mechanism with late fusion. MDAM use…

physics.bio-ph2016★ 1 cited

Three-dimensional label-free imaging and quantification of lipid droplets in live hepatocytes

Kyoohyun Kim, SeoEun Lee, Jonghee Yoon +3

Lipid droplets (LDs) are subcellular organelles with important roles in lipid storage and metabolism and involved in various diseases including cancer, obesity, and diabetes. Conve…

physics.bio-ph2015★ 5 cited

Label-free characterization of white blood cells by measuring 3D refractive index maps

Jonghee Yoon, Kyoohyun Kim, HyunJoo Park +3

The characterization of white blood cells (WBCs) is crucial for blood analyses and disease diagnoses. However, current standard techniques rely on cell labeling, a process which im…

math.AP2014★ 11 cited

A non-iterative method for the electrical impedance tomography based on joint sparse recovery

Ok Kyun Lee, Hyeonbae Kang, Jong Chul Ye +1

The purpose of this paper is to propose a non-iterative method for the inverse conductivity problem of recovering multiple small anomalies from the boundary measurements. When smal…