DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (Astron. Comput., 2021)

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner; Brian Nord; Michael H. L. S. Wang; A. Jacob Amsellem; K. Downey; S. Jenkins; Diana Kafkes; Z. Zhang (Astron. Comput., 2022)

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (CoRR, 2022)

Transformers for scientific data: a pedagogical review for astronomers. - Dimitrios Tanoglidis; Bhuvnesh Jain; Helen Qu (CoRR, 2023)

At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models. - Dimitrios Tanoglidis; Bhuvnesh Jain (CoRR, 2024)

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. - Atilla Kaan Alkan; Shashwat Sourav; Maja Jablonska; Simone Astarita; Rishabh Chakrabarty; Nikhil Garuda; Pranav Khetarpal; Maciej Pióro; Dimitrios Tanoglidis; Kartheik Iyer; Mugdha Polimera; Michael J. Smith 013; et al. (CoRR, 2025)

AstroLLaVA: towards the unification of astronomical data and natural language. - Sharaf Zaman; Michael J. Smith 013; Pranav Khetarpal; Rishabh Chakrabarty; Michele Ginolfi; Marc Huertas-Company; Maja Jablonska; Sandor Kruk; Matthieu Le Lain; Sergio J. Rodríguez Méndez; Dimitrios Tanoglidis (CoRR, 2025)