Benoît Schmauch

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

A guide to machine learning for biologists

AI in health and medicine

Large language models in medicine

Combined hepatocellular-cholangiocarcinoma: An update

Multimodal biomedical AI

Deep learning in histopathology: the path to the clinic

Deep learning in cancer pathology: a new generation of clinical biomarkers

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study

Hepatocellular carcinoma

Glycoproteomics

A review of medical image data augmentation techniques for deep learning applications

A roadmap for multi-omics data integration using deep learning

Machine learning-based approach: global trends, research directions, and regulatory standpoints

How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

Diagnosis of focal liver lesions from ultrasound using deep learning

Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides

Detection and characterization of MRI breast lesions using deep learning