Open-source advocate. Interesting in anything related to deep learning, computer vision, large language models, and development of solutions that actually make a difference.
- Radiology (CT/MRI/FFDM): Raidionics, AeroPath, neukit, DDMR, livermask, GSI-RADS, LungTumorMask, DMDetect, PLS-Net, ct_mediastinal_structures_segmentation, mri_brain_tumor_segmentation
- Histopathological images (WSI): FastPathology, NoCodeSeg, torchstain, H2G-Net, fast-stain-normalization, FP-DSA-plugin, vsi2tif, wsi-visualization-demo, wsi-annotation-demo, pathology-representation-simulation
- Free-text (chat/notes): chatbot-streamlit-demo, ReferenceBot, adverse-events, NLP-MTL
- Sensors (mobile): IronFlow, transcribe.io, DSS, DeepSleep
- Other: FAST, GradientAccumulator, super-ml-pets, SimpleCRF, breast-cancer-stats, t-loss-tf, ohif4hf
- Dataset contributions: AeroPath, NoCodeSeg, LyNoS