CAIM Seminar

Camila Gonzalez: Machine learning in intensive care

Pengwei Wang: Explainable Fundus Image Quality Assessment via Anatomical Priors

Titouan Brossy: Maximizing Selectivity of Vagus Nerve Stimulation with Gaussian Process-based Bayesian Optimization

Animeh Awasthi: Conditional Monte Carlo Tree Diffusion for Designing Cell-Type-Specific and Biologically Faithful Regulatory DNA

Johannes Tischer: Conditional Fetal Brain Atlas Learning for Age-Specific Template Generation and Tissue Segmentation

Shivam Sing: TMD - Training of neural networks and Research for Advanced Classification and Explanation of mandibular kinematics

Laszlo Papp: Biomorphic Neural Networks and Quantum ML: Interpretable AI for Small Clinical Data

Felicia Bader: MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images

Benedikt Mayrhofer: Real-Time On-Device Voice Conversion for Pathological Speech Rehabilitation

Giuseppe Morgese: 2D for 3D Unsupervised Anomaly Detection in CCTA

Ivana Janickova: SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction

Chen Lu: Toward Comprehensive TMD Diagnosis: A Multimodal AI Framework Integrating MRI, Radiology Reports, and Clinical Forms

Marzieh Oghbaie: Interpretable Change Detection for Disease Activity Monitoring in Longitudinal Retinal Imaging

Natalya Torgasheva: Deep Learning Approaches for Spatial Mapping of Astrocytes in Single-Cell Transcriptomic Data

Ronald Fecso

Can Camuz

Viktoria Berndorfer

Taha Emre

Jeanny Pan

Thomas Holzinger

Mohammed Kamran

Clara Grotehans

Jiaming Qian

Julieta Di Marco

Nicolas Weilguny

Amin Yousefi

Aaron Soburg

Chiara Cavigliano

Zuzanna Magnuska

Dennis Duncan