Halil Ibrahim Gulluk

2 papers indexed

arxivcs.CVcs.AIcs.LG2026-07-03

CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge, Olivier Gevaert

Controllable generative models of 3D medical images can synthesize volumes with specified clinical attributes, but this demands samples that are simultaneously high-fidelity, natively 3D, and faithful to the requested conditioning. We present CONFLUX, a latent diffusion model for…

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arxivcs.AIcs.LG2026-07-01

Discrete Diffusion Language Models for Interactive Radiology Report Drafting

Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge, Olivier Gevaert

Diffusion language models, which generate text by denoising a token canvas bidirectionally instead of emitting tokens left to right, have become competitive with autoregressive (AR) generation. Medical foundation models, however, remain almost entirely autoregressive. We adapt a…

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