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Journal-Club

The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The main objective of this bi-weekly reading group is to help you develop/improve your critical and design thinking skills, which are essential skills for researchers and will help you when presenting or writing your own work.

To date, we have held two editions in which participants joined us remotely from different continents in highly engaging and stimulating sessions.

During each session, the moderators briefly introduce the paper and then moderate a discussion where everyone is welcome to provide their thoughts and ask any questions on the paper. The topics of the papers will vary, and we will try to cover different areas of medical data analysis, e.g., registration, segmentation, federated learning, fairness, and reinforcement learning —among others. Similarly, we will review papers from the machine and deep learning communities, providing you with a broader overview of the state-of-the-art method.

For more about RISE-MICCAI and the RISE Journal Club, check our website at http://www.miccai.org/about-miccai/rise-miccai/

Follow us on GitHub at https://github.com/RISE-MICCAI

And join our mailing list to receive updates about our RISE activities at https://bit.ly/2VMPHXc

Paper list

No Date Moderator Title Link
37 14/12/2024 Mostafa Sharifzadeh Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach https://arxiv.org/pdf/2308.11149
36 30/11/2024 Xinrui Yuan Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development https://link.springer.com/content/pdf/10.1007/978-3-031-43996-4_52.pdf?pdf=inline%20link
35 16/11/2024 Yiyang Xu Improved 3D Whole Heart Geometry from Sparse CMR Slices https://www.arxiv.org/abs/2408.07532
34 02/11/2024 Dewmini Hasara Wickremasinghe Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation https://arxiv.org/abs/2408.11754
33 21/09/2024 Ahmed Nebli GRAM: Graph Regularizable Assessment Metric https://drive.google.com/file/d/1aFCpOkuLw06_bbERqXq6Tu_5mJtPPueL/view?usp=sharing
32 07/09/2024 Paula Feldman VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis https://arxiv.org/abs/2307.03592
31 27/07/2024 Nahal Mirzaie Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery https://link.springer.com/chapter/10.1007/978-3-031-43993-3_65
30 13/07/2024 John Kalkhof M3D-NCA: Robust 3D Segmentation with Built-In Quality Control https://arxiv.org/pdf/2309.02954.pdf
29 29/06/2024 Gasper Podobnik HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent? https://link.springer.com/chapter/10.1007/978-3-031-72114-4_30
28 15/06/2024 DongAo Ma Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance https://arxiv.org/abs/2310.09507
27 01/06/2024 Alvaro Gonzalez-Jimenez Robust T-Loss for Medical Image Segmentation https://arxiv.org/abs/2306.00753
26 18/05/2024 Pamela Guevara Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data https://www.sciencedirect.com/science/article/pii/S1053811922006656
25 04/05/2024 Tareen Dawood Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis https://arxiv.org/pdf/2303.03242
24 20/04/2024 Islem Rekik Special session: The journey of a research paper: from writing to review
23 06/04/2024 Zhen Yuan Orthogonal annotation benefits barely-supervised medical image segmentation https://arxiv.org/abs/2303.13090
22 23/03/2024 Charles Delahunt Consistent Individualized Feature Attribution for Tree Ensembles https://arxiv.org/abs/1802.03888
21 09/03/2024 Charles Delahunt Understanding metric-related pitfalls in image analysis validation https://arxiv.org/abs/2302.01790
20 24/02/2024 Qiang Zhang Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy and Artificial intelligence for contrast-free MRI: Scar assessment in myocardial infarction using deep learning–based virtual native enhancement https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.122.060137 and https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.121.054432
19 13/01/2024 Charles, Andrea, Ahmed, Tareen and Esther Opening session multi-linguistic: french, spanish, english, arabic
18 13/12/2023 Tiarna Lee An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation https://arxiv.org/abs/2308.13415
17 29/11/2023 Prosper Oyibo Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings https://doi.org/10.1117/1.JMI.10.4.044005
16 15/11/2023 Tareen Dawood Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images https://www.sciencedirect.com/science/article/pii/S1361841523001214
15 01/11/2023 Prerak Mody and Mortiz Fuchs Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT https://doi.org/10.1148/radiol.230275
14 20/09/2023 Ayantika Das Diffusion Autoencoders: Toward a Meaningful and Decodable Representation https://openaccess.thecvf.com/content/CVPR2022/papers/Preechakul_Diffusion_Autoencoders_Toward_a_Meaningful_and_Decodable_Representation_CVPR_2022_paper.pdf
13 06/09/2023 Charles Metrics to guide development of machine learning algorithms for malaria diagnosis https://arxiv.org/abs/2209.06947
12 26/07/2023 Miguel López-Pérez Disentangling human error from the ground truth in segmentation of medical images https://arxiv.org/abs/2007.15963
11 12/07/2023 Yasar Mehmood Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training https://arxiv.org/abs/2303.00874
10 28/06/2023 Samra Irshad STEEX: Steering Counterfactual Explanations with semantics https://arxiv.org/abs/2111.09094
9 14/06/2023 Islem Rekik HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients https://arxiv.org/pdf/2010.01264
8 03/06/2023 Charles Attention Is All You Need https://arxiv.org/abs/1706.03762
7 20/05/2023 Islem Rekik On Predicting Generalization using GANs https://openreview.net/pdf?id=eW5R4Cek6y6
6 06/05/2023 Charles and Andrea Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization https://arxiv.org/abs/1404.1100
5 22/04/2023 Charles Delahunt A tutorial on Principal Component Analysis https://arxiv.org/abs/1404.1100
4 08/04/2023 Charles and Islem A dirty dozen: 12 p-value misconceptions http://mcb112.org/w06/Goodman08.pdf
3 25/03/2023 Islem and Charles Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization https://openreview.net/pdf?id=ryeFY0EFwS
2 11/03/2023 Charles and Andrea Imagenet classification with deep convolutional neural networks https://papers.nips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf
1 25/02/2023 Islem Rekik Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity https://link.springer.com/chapter/10.1007/978-3-319-24571-3_79