Advancing Detection through Deep Learning for Industrial, Environmental, and Health Applications

Deep machine learning for genomic data analysis

Doctoral project Esla Timothy Anzaku

Doctoral project Kwang Il Hwang

Prevalence of Adversarial Examples in Neural Networks: Attacks, Defenses, and Opportunities

Robust Deep Learning-based 3-D Scene Reconstruction and Segmentation for Improved Diagnosis of Medical Ailments in Surgical Videos

Doctoral project Francesca Tozzi

Doctoral project Robbe De Muynck

Improving PIPAC therapy responses in cancer patients with peritoneal metastases using robust computer vision

Multispectral Imaging and Machine Learning for Optical Biopsy in Abdominal Cancer Surgery

Biotech data science

Improving PIPAC therapy responses in cancer patients with peritoneal metastases using robust computer vision

Automatic Detection of Parasites in Stool and Blood Smear Images using Trustworthy Machine Learning

Cost-Effective Spatial Expression Profiling for Tumor Marker Discovery using WSI-based Deep Learning

Enriching context-aware protein embedding models with 3-D structural information for improved protein secretability and kinase substrate site prediction

Forging connections between machine learning techniques and strongly correlated physical systems

Isolation, Characterization, and Bioactive Potential of Bacteria from Traditional Cheonggukjang (CGJ) for the Development of Functional Fermented Products

SECRiFY: a new tool for studying eukaryotic protein secretion.

SECRiFY: a new tool for studying eukaryotic protein secretion.