Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. - Vicente Dominguez; Pablo Messina; Denis Parra; Domingo Mery; Christoph Trattner; Alvaro Soto (DLRS@RecSys, 2017)

Exploring Content-based Artwork Recommendation with Metadata and Visual Features. - Pablo Messina; Vicente Dominguez; Denis Parra; Christoph Trattner; Alvaro Soto (CoRR, 2017)

Towards Explanations for Visual Recommender Systems of Artistic Images. - Vicente Dominguez; Pablo Messina; Christoph Trattner; Denis Parra (IntRS@RecSys, 2018)

Do Better ImageNet Models Transfer Better... for Image Recommendation ? - Felipe del-Rio; Pablo Messina; Vicente Dominguez; Denis Parra (CoRR, 2018)

The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images. - Vicente Dominguez; Pablo Messina; Ivania Donoso-Guzmán; Denis Parra (IUI, 2019)

Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. - Pablo Messina; Vicente Dominguez; Denis Parra; Christoph Trattner; Alvaro Soto (User Model. User Adapt. Interact., 2019)

CuratorNet: Visually-aware Recommendation of Art Images. - Denis Parra; Pablo Messina; Manuel Cartagena; Felipe del-Rio; Patricio Cerda-Mardini (ComplexRec-ImpactRS@RecSys, 2020)

A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation. - Pablo Messina; Pablo Pino; Denis Parra; Alvaro Soto; Cecilia Besa; Sergio Uribe; Marcelo E. Andia; Cristian Tejos; Claudia Prieto; Daniel Capurro (CoRR, 2020)

Inspecting state of the art performance and NLP metrics in image-based medical report generation. - Pablo Pino; Denis Parra; Pablo Messina; Cecilia Besa; Sergio Uribe (CoRR, 2020)

Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images. - Vicente Dominguez; Ivania Donoso-Guzmán; Pablo Messina; Denis Parra (ACM Trans. Interact. Intell. Syst., 2020)

PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans. - José Miguel Quintana; Daniel Florea; Ria Deane; Denis Parra; Pablo Pino; Pablo Messina; Hans Löbel (CLEF (Working Notes), 2021)

PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN. - Ricardo Schilling; Pablo Messina; Denis Parra; Hans Löbel (CLEF (Working Notes), 2021)

A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. - Pablo Messina; Pablo Pino; Denis Parra; Alvaro Soto; Cecilia Besa; Sergio Uribe; Marcelo E. Andia; Cristian Tejos; Claudia Prieto; Daniel Capurro (ACM Comput. Surv., 2022)

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. - Pablo Messina; René Vidal; Denis Parra; Alvaro Soto; Vladimir Araujo (ACL (Findings), 2024)

iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation. - Diego Campanini; Oscar Loch; Pablo Messina; Rafael Elberg; Denis Parra (BioNLP@ACL, 2024)

iHealth-Chile-3&2 at RRG24: Template Based Report Generation. - Oscar Loch; Pablo Messina; Rafael Elberg; Diego Campanini; Álvaro Soto; René Vidal; Denis Parra (BioNLP@ACL, 2024)

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. - Yuyan Ge; Kwan Ho Ryan Chan; Pablo Messina; René Vidal (CoRR, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)