Deep Learning Projects


Project 1: Chest Radiograph Pathology Classification


Project 2: Brain Tumor Segmentation


Project 3: Diabetic Retinopathy Detection


Project 4: Skin Lesion Classification


Project 5: ECG Arrhythmia Classification


Project 6: Histopathology Metastasis Detection


Project 7: Federated Adaptive Class-specific Prompt Tuning


Project 8: Federated Adaptive Prompt Tuning in medical field


Project 9: Object Counting in Aerial Images


Project 10: Lightweight Object Detection


Project 11: Medical Image Segmentation using Foundation Models


Project 12: Aligned Federated Learning with B-cos networks


Project 13: Uncertainty-aware adaptive learning in Segmentation


Project 14: Aligning human (eye-gaze) and model (saliency) attention


Project 15: Federated Subnetwork sharing


Project 16: Identifying Brain Regions with fMRI

Project 17: Detecting Scalp Area from a Single EEG Electrode Signal


Project 18: Disentangling Color Semantics in CLIP: Discovering and Evaluating Sparse Sub-Spaces for Object Color Representation


Project 19: Applying registers to B-Cos Networks


Project 20: Continual Learning with registers


Project 21: Dataset Distillation for CL


Project 22: Dataset Distillation for FL


Project 23: GenAI to explain CNN


Project 24: Static Images Network analyzer


Project 25: Automatic check of explainability method using segmentation maps


Project 26: Audio Image Alignement


Project 27: Textual Backward


Project 28: Segmentation using bbox from GroundingSAM


Project 29: Classification Breast Cancer


Project 30: Behaviour decoding from Mouse Visual Cortex


Project 31: Image Classification from Brain Signals


Project 32: Brain Signal Quantization


Project 33: Few-shot Predictive Maintenance Benchmarking