Journal Club

Journal Club

  • Fall 2020  

    12/2/2020 Qing Dai: Magnetic Nanoparticles in Cancer Theranostics

  • Winter 2021

    1/13/2021 Yongkai Liu: MRI-based Synthetic CT in the Detection of Structural Lesions in Patients with Suspected Sacroiliitis: Comparison with MRI
    1/27/2021 Haoxin Zheng: Learning Cross-Modality Representations From Multi-Modal Images
    2/10/2021 Shu-Fu Shih: Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A survey of the Current Approaches, Trends, and Issues”
    2/24/2021 Jiahao Lin: SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
    3/10/2021 Hengjie Liu: Self-supervised learning of physics-guided reconstruction neural networks without fully sampled reference data

  • Spring 2021

    4/7/2021 Steve Mendoza: Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
    4/21/2021 Qing Dai: UNETR: Transformers for 3D Medical Image Segmentation
    5/5/2021 Zhengyang Ming: Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
    6/2/2021 Ran Yan: A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion

  • Fall 2022 

    10/28/2022 All: ISMRM abstract sharing
    11/18/2022 Shu-fu Shih: Denoising of diffusion MRI using random matrix theory

  • Winter 2023 

    1/20/2023 Qing Dai: MR-guided Focused Ultrasound Therapy
    2/3/2023 Elif Aygun: Calibrationless Parallel Imaging Reconstruction Based on Structured Low-Rank Matrix Completion
    2/17/2023 Nick Cho and Sevgi Kafali: Paper Writing and Publishing / Handling Rejection
    3/3/2023 Jean Wang: Managing Stress and Anxiety
    3/17/2023 Francesco Sanvito: MRI in Standard of Care: Brain, Liver, and Prostate

  • Spring 2023

    4/14/2023 Chencai Wang: Neuroimaging Analysis
    4/28/2023 Fadil Ali: Parallel Imaging
    5/26/2023 All: ISMRM Practice Session
    6/22/2023 Shu-Fu/Timo: ISMRM Wrap up Session

  • Fall 2024 

    10/20/2023 Qing Dai: An Adaptive Non-Local-Means Filter for Real-Time MR-Thermometry
    11/3/2023 Kaifeng Pang: Masked Autoencoders Are Scalable Vision Learners
    11/17/2023 Ran Yan: MRI bias field correction with an implicitly trained CNN
    12/1/2023 Tianle Cao: MRzero - Automated discovery of MRI sequences using supervised learning

  • Winter 2024 

    1/19/2024 Alex Hung: Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
    2/2/2024 Raymi Ramirez: Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task
    2/16/2024 Wenqi Zhou: Efficient Geometry-Aware 3D Generative Adversarial Networks

  • Spring 2024 

    4/5/2024 Sanjib Gurung: MRI-based blood flow measurement
    4/19/2024 Xi Chen: The “hidden noise” problem in MR image reconstruction
    6/7/2024 Ran Yan: Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning

  • Fall 2024 

    10/4/2024 Shu-Fu Shih: Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
    10/18/2024 Kaifeng Pang: ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
    11/1/2024 Kai Zhao: AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
    12/6/2024 Xi Chen: Simultaneous 3D T1, T2, and fat-signal-fraction mapping with respiratory-motion correction for comprehensive liver tissue characterization at 0.55 T

  • Winter 2025 

    1/10/2025 Shu-Fu Shih: Self-supervised learning for improved calibrationless radial MRI with NLINV-Net
    1/24/2025 Changsuk Oh: IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
    2/7/2025 Kaifeng Pang: Noise2Self: Blind Denoising by Self-Supervision
    2/21/2025 Zheyuan Hu: Optimization of 3D dynamic speech MRI: Poisson-disc undersampling and locally higher-rank reconstruction through partial separability model with regional optimized temporal basis
    3/7/2025 Qing Dai: Whole-body magnetic resonance imaging at 0.05 Tesla

  • Spring 2025 

    5/2/2025 Kaifeng Pang: Near, far: Patch-ordering enhances vision foundation models' scene understanding
    8/15/2025 Raymi Ramirez: Current Practices and General Literature Management

  • Fall 2025 

    10/7/2025 Kaifeng Pang: Tips to find papers
    10/21/2025 Qing Dai: How to read papers
    11/4/2025 Raymi Ramirez: Literature database
    11/18/2025 Wenwen Zhang: Foundational model review
    12/2/2025 Qiudi He: Applications of Vision Language Models in Medical Imaging

  • Winter 2026 

    1/20/2026 Kaifeng Pang: Single-step Generative Models
    2/3/2026 Alex Macintyre: Zero-Shot Self-Supervised Learning for MRI Reconstruction
    2/17/2026 TBD: TBD
    3/3/2026 Sohaib Naim: Zero-Shot Self-Supervised Learning for MRI Reconstruction
    3/10/2026 TBD: CVIB/MRRL Joint Workshop