Marc Boubnovski Martell

According to our database, Marc Boubnovski Martell authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis.

Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen, Sumeet Hindocha, Benjamin Hunter, Marco A. Calzado, Richard Lee, Joram M. Posma, Eric O. Aboagye

CoRR, July, 2025

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing.

Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips, Casper Hansen, Julien Fauqueur

CoRR, June, 2025

Query, Don't Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries.

Josefa Lia Stoisser, Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Stephen Michael Town, Rory M. Donovan-Maiye, Julien Fauqueur

CoRR, May, 2025

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning.

Josefa Lia Stoisser, Marc Boubnovski Martell, Julien Fauqueur

CoRR, May, 2025

2021

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs.

Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J. Copley, Eric O. Aboagye

CoRR, 2021