| Topic | No | Title | Conference/Journal | Tutor | Student (Last name) | Link |
|---|
| Supervised Learning | 1 | SynSeg?-Net: Synthetic Segmentation Without Target Modality Ground Truth | TMI | | | PDF |
| | 2 | BiSeNet?: Bilateral Segmentation Network for Real-time Semantic Segmentation | ECCV | | | PDF |
| | 3 | Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation | ECCV | | | PDF |
| | 4 | Learning a Probabilistic Model for Diffeomorphic Registration | TMI | | | PDF |
| | 5 | Efficient Multiple Organ Localization in CT Image using 3D Region Proposal Network | TMI | Ashkan | Natalia | PDF |
| | 6 | Explicit topological priors for deep-learning based image segmentation using persistent homology | IPMI | | | PDF |
| | 7 | Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning | IPMI | | | PDF |
| | 8 | Adaptive Graph Convolution Pooling for Brain Surface Analysis | IPMI | Anees | Subhadarshini | PDF |
| Unsupervised Learning | 9 | Zero-Annotation Object Detection with Web Knowledge Transfer | ECCV | Matthias | | PDF |
| | 10 | Unsupervised two-path neural network for cell event detection and classification using spatio-temporal patterns | TMI | | | PDF |
| | 11 | Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations | IPMI | Hasan | Asli | PDF |
| | 12 | A cross-center smoothness prior for variational Bayesian brain tissue segmentation | IPMI | | | PDF |
| Semi/Weakly/Webly-Supervised Learning | 13 | Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images | TMI | Tariq | Louise | PDF |
| | 14 | GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation | arxiv | Magda | | PDF |
| | 15 | Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling | MedIA? | SeongTae | | PDF |
| | 16 | Thoracic Disease Identification and Localization with Limited Supervision | CVPR | Ashkan | Anindya | PDF |
| | 17 | Semi-Supervised and Task-Driven Data Augmentation | IPMI | Shadi | | PDF |
| | 18 | Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model | IPMI | Roger | Anna | PDF |
| | 19 | Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention | IPMI | | | PDF |
| Interpretability of Deep Learning Models | 20 | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks | arxiv | Neda | Polina | PDF |
| | 21 | Visual Feature Attribution using Wasserstein GANs | CVPR | | | PDF |
| | 22 | Interpret Neural Networks by Identifying Critical Data Routing Paths | CVPR | Magda | Ghalia | PDF |
| | 23 | Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling | MICCAI | | | PDF |
| | | Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment | MICCAI | Neda | | PDF |
| | 24 | Sanity Checks for Saliency Maps | NIPS | Ashkan | | PDF |
| | 25 | Human-in-the-Loop Interpretability Prior | NIPS | Shadi | | PDF |
| | 26 | Melanoma Recognition via Visual Attention | IPMI | SeongTae | Cristina | PDF |
| | 27 | Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery | IPMI | | | PDF |
| Selected topics (Domain Adaptation / Meta Learning / Uncertainty) | 28 | MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images | MedIA? | Marie Piraud | Yan-Chi | PDF |
| | 29 | Taskonomy: Disentangling Task Transfer Learning | CVPR | Magda | John | PDF |
| | 30 | Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training | TMI | | | PDF |
| | 31 | Zero-Shot Object Detection | ECCV | Roger | Dhaval | PDF |
| | 32 | Training Medical Image Analysis Systems like Radiologists | MICCAI | | | PDF |
| | | | | | | |
| | 33 | Learning-Based Quality Control for Cardiac MR Images | TMI | | | PDF |
| | 34 | Riemannian geometry learning for disease progression modelling | IPMI | SeongTae | Amir | PDF |
| | 35 | ImageNet?-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness | ICLR | Anees | Sebastian | PDF |
| | 36 | Meta-Learning Update Rules for Unsupervised Representation Learning | ICLR | | | PDF |
| | 37 | Learning deep representations by mutual information estimation and maximization | ICLR | Hasan | Ahmed | PDF |
| | 38 | Learning Robust Representations by Projecting Superficial Statistics Out | ICLR | | | PDF |
| | 39 | Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis | BIBM | Marie Piraud | | PDF |
| | | Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models | Scientific Report | | | PDF |
