Neural Radiance Fields (NeRF) for 3D Product Generation
NeRF-based 3D product visualisation pipeline built at Deep Design Systems. Combines neural radiance fields with diffusion model conditioning to generate photorealistic 3D …
NeRF-based 3D product visualisation pipeline built at Deep Design Systems. Combines neural radiance fields with diffusion model conditioning to generate photorealistic 3D …
Fine-tuning large language models using LoRA and QLoRA for domain-specific tasks, with retrieval-augmented generation (RAG) pipelines for grounded outputs. Evaluated and refined …
Surrogate deep learning model replacing computationally expensive CFD simulations for car aerodynamics shape optimisation. Trained on CFD-generated flow field data to predict drag …
Deep learning pipeline for 3D organ segmentation in oncology CT scans, used in clinical research at Radboud University Medical Center. Trained on large annotated datasets of cancer …
Automated 3D segmentation of lithium-ion battery cells from industrial CT scans, deployed in production at Nuctech. Pipeline built with TensorRT and ONNX for optimised inference, …
Multi-label CNN for detecting bounding boxes of multiple organs simultaneously in thorax-abdomen CT scans. Published in Physics in Medicine & Biology (Vol. 63, No. 8). Achieved …