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MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Deep learning overtook this limitation by taking advantage of GPU calculation and the learning process.
Exploring Deep Registration Latent Spaces
Explainability of deep neural networks is one of the most challenging and interesting problems in the field.
Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data
The pathological analysis of biopsy specimens is essential to cancer diagnosis, treatment selection and prognosis.
Weakly supervised pan-cancer segmentation tool
The vast majority of semantic segmentation approaches rely on pixel-level annotations that are tedious and time consuming to obtain and suffer from significant inter and intra-expert variability.
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