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Discovering fully semantic representations via centroid- and orientation-aware feature learning

Cha and colleagues present a translation- and rotation-equivariant autoencoder-based method for robust image recognition, which they demonstrate on diverse tasks from bioinformatics, material science and astronomy.

Jaehoon Cha
Jinhae Park
Jeyan Thiyagalingam
ResearchOpen Access06 Feb 2025
Nature Machine Intelligence

Volume: 7, P: 307-314
Factors associated with shock-refractory prehospital cardiac arrest

Kyung Hun Yoo
Byuk Sung Ko
Hye Jee Joo
ResearchOpen Access18 Aug 2025
Scientific Reports

Volume: 15, P: 1-9
Differentiating visceral sensory ganglion organoids from induced pluripotent stem cells

A protocol for differentiating visceral sensory ganglion organoids from induced pluripotent stem cells allows the establishment of an in vitro model for the gut–visceral nerve–brain axis and study of the propagation of pathogenic proteins involved in Alzheimer’s disease along the vagus nerve.

Kyusik Ahn
Hwee-Seon Park
Inhee Mook-Jung
Research22 Oct 2024
Nature Methods

Volume: 21, P: 2135-2146
Topological Fermi-arc surface state covered by floating electrons on a two-dimensional electride

Electrides are an emerging family of materials with potential for hosting topological states. Here, the authors demonstrate the presence of Fermi-arc surface states in close proximity to the floating electron layer on the surface of an electride.

Chan-young Lim
Min-Seok Kim
Yeongkwan Kim
ResearchOpen Access04 Jul 2024
Nature Communications

Volume: 15, P: 1-8
Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations

Crystal growth simulations generate vast datasets that are difficult to analyse using traditional methods alone. By combining disentangling autoencoders with spherical harmonic descriptors, the authors create an interpretable system that maps continuous transformations between crystal morphologies while preserving underlying crystallographic principles.

Jaehoon Cha
Steven Tendyra
Jeyan Thiyagalingam
ResearchOpen Access02 Jul 2025
Communications Physics

Volume: 8, P: 1-13
Characterization of developmental defects in the forebrain resulting from hyperactivated mTOR signaling by integrative analysis of transcriptomic and proteomic data

Jiheon Shin
Minhyung Kim
Jaesang Kim
ResearchOpen Access06 Jun 2017
Scientific Reports

Volume: 7, P: 1-11

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Discovering fully semantic representations via centroid- and orientation-aware feature learning

Factors associated with shock-refractory prehospital cardiac arrest

Differentiating visceral sensory ganglion organoids from induced pluripotent stem cells

Topological Fermi-arc surface state covered by floating electrons on a two-dimensional electride

Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations

Characterization of developmental defects in the forebrain resulting from hyperactivated mTOR signaling by integrative analysis of transcriptomic and proteomic data

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