Iksung Kang

About Iksung Kang

Iksung Kang, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of optics, tomography, computational imaging, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Coordinate-based neural representations for computational adaptive optics in two-photon microscopy

Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID)

Deep self-supervised learning for computational adaptive optics in widefield microscopy

On the use of deep learning for three-dimensional computational imaging

Optical segmentation-based compressed readout of neuronal voltage dynamics

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network

Iksung Kang Information

University

Position

___

Citations(all)

241

Citations(since 2020)

241

Cited By

55

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Iksung Kang Skills & Research Interests

optics

tomography

computational imaging

machine learning

Top articles of Iksung Kang

Coordinate-based neural representations for computational adaptive optics in two-photon microscopy

arXiv preprint arXiv:2307.03812

2023/7/7

Iksung Kang
Iksung Kang

H-Index: 4

Na Ji
Na Ji

H-Index: 26

Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID)

eLight

2023/4/3

Deep self-supervised learning for computational adaptive optics in widefield microscopy

2023/3/16

Iksung Kang
Iksung Kang

H-Index: 4

Na Ji
Na Ji

H-Index: 26

On the use of deep learning for three-dimensional computational imaging

2023/3/8

Optical segmentation-based compressed readout of neuronal voltage dynamics

bioRxiv

2023/11

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Optica

2023/8/20

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

Light: Science & Applications

2023/5/30

Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network

Optica

2022/10/20

Photon-starved X-ray Ptychographic imaging using Spatial Pyramid Atrous Convolution End-to-end Reconstruction (PtychoSPACER)

2022/7/11

Multi-dimensional computational imaging from diffraction intensity using deep neural networks

2022

Iksung Kang
Iksung Kang

H-Index: 4

Three-dimensional reconstruction of integrated circuits by single-angle X-ray ptychography with machine learning

2021/7/19

Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views

Light: Science & Applications

2021/4/7

Iksung Kang
Iksung Kang

H-Index: 4

George Barbastathis
George Barbastathis

H-Index: 33

Probability of error as an image metric for the assessment of tomographic reconstruction of dense-layered binary-phase objects

2021/3/5

Iksung Kang
Iksung Kang

H-Index: 4

George Barbastathis
George Barbastathis

H-Index: 33

Recurrent neural network reveals transparent objects through scattering media

Optics Express

2021/2/15

Deep neural networks to improve the dynamic range of Zernike phase-contrast wavefront sensing in high-contrast imaging systems

2020/12/13

Deep residual learning for low-order wavefront sensing in high-contrast imaging systems

Optics Express

2020/8/31

On the interplay between physical and content priors in deep learning for computational imaging

Optics Express

2020/8/3

Phase extraction neural network (PhENN) with coherent modulation imaging (CMI) for phase retrieval at low photon counts

Optics Express

2020/7/20

Iksung Kang
Iksung Kang

H-Index: 4

George Barbastathis
George Barbastathis

H-Index: 33

High-fidelity inversion at low-photon counts using deep learning and random phase modulation

2020/5/3

Iksung Kang
Iksung Kang

H-Index: 4

Learning to synthesize: Robust phase retrieval at low photon counts

Light: Science & Applications

2020/3/9

See List of Professors in Iksung Kang University(Massachusetts Institute of Technology)

Co-Authors

academic-engine