Introduction
The CMI lab journal club is open to anyone interested in ongoing computational medical imaging research. A member will present a journal article in the field or present his or her own work. The objective for these meetings is to bounce ideas, learn from each other and improve scientific communication skills.
Interested in joining the CMI lab journal club? Contact:
Zipinig Liu (liuziping at wustl dot edu)
Md Ashequr Rahman (rahman dot m at wustl dot edu)
Journal Club Schedule
- Title: AI-based Methods for Nuclear-Medicine Imaging: Need for Objective Task-specific Evaluation (SNMMI Annual Meeting 2020 practice)
Presenter: Zitong Yu
Title: A Physics-guided and Learning-based Estimation Method for Segmenting 3D DaTscan SPECT Images (SNMMI Annual Meeting 2020 practice)
Presenter: Ziping Liu
Title: An Estimation-based Segmentation Method to Delineate Tumors in PET Images (SNMMI Annual Meeting 2020 practice)
Presenter: Ziping Liu
Date: 06/25/2020 - Title: A Physics-guided and Learning-based Estimation Method for Segmenting 3D DaTscan SPECT Images (SNMMI Annual Meeting 2020 practice)
Presenter: Ziping Liu
Date: 05/28/2020 - Title: Model-based Reconstruction in List-mode SPECT (Imaging Science Qual Exam practice)
Presenter: Md Ashequr Rahman
Date: 05/21/2020 - Title: Quantitative Ultra-low-count SPECT for Targeted Alpha-particle Therapy (BME Qual Exam practice)
Presenter: Zekun Li
Date: 05/20/2020 - Title: Integrating Physics, AI, and Task-specific Evaluation for SPECT reconstruction (BME Qual Exam practice)
Presenter: Zitong Yu
Date: 05/14/2020 - Title: Using Machine Learning Methods to Predict the HCC Treatment Response to TACE
Presenter: Qiming Wang
Date: 05/07/2020 - Title: Enhanced Image Registration with a Network Paradigm and Incorporation of a Deformation Representation Model (IEEE ISBI 2020)
Presenter: Nuri Choi
Title: Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks (IEEE ISBI 2020)
Presenter: Qiming Wang
Date: 04/30/2020 - Title: Computational Imaging Methods for Analysis of DaTscan SPECT Images (Master’s Thesis practice)
Presenter: Hae Sol Moon
Date: 04/23/2020 - Title: Low-rank Modeling of Local Sinogram Neighborhoods with Tomographic Applications (IEEE ISBI 2020)
Presenter: Zekun Li
Title: DISKMASK: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects (IEEE ISBI 2020)
Presenter: Claire Zhang
Date: 04/16/2020 - Title: 2020 ISBI Conference practice presentations
Presenters: Md Ashequr Rahman, Zitong Yu, Ziping Liu
Date: 03/27/2020 - Title: Measuring uncertainty in deep neural networks (Reading material: Link)
Presenter: Ran Li
Date: 12/20/2019 - Paper title: The Variational Approximation for Bayesian Inference (link)
Presenter: Andrew Van
Date: 11/22/2019 - Paper title: Quantifying the Loss of Information from Binning List-Mode Data (link)
Presenter: Kaushik Dutta
Date: 10/11/2019 - Paper title: Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information (link)
Presenter: Ty Easley - Paper title: Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees (link)
Presenter: Zitong Yu
Date: 9/6/19 - Title: 2019 WMIC Conference Practice Presentation
Presenters: Ziping Liu and Hae Sol Moon
Date: 08/19/19 - Title: 2019 Summer Undergraduate Internship Practice Presentation
Presenter: Qiye Tan and Jinxin Liu
Date: 08/23/19 - Paper title: Precipitate shape fitting and reconstruction by means of 3D Zernike functions (link)
Presenter: Qiye Tan
Date: 08/13/19 - Title: Development and evaluation of a model-based downscatter compensation method for quantitative I-131 SPECT (link)
Presenter: Jinxin Liu
Date: 08/13/19 - Title: Predicting Hepatocellular Carcinoma Treatment Response to Trans-arterial Chemoembolization with Convolutional Neural Network (Summer 2019 Internship Presentation)
Presenter: Tianyao Hao
Date: 08/05/19 - Title: No Gold Standard Technique in Imaging Analysis (Summer 2019 Internship Presentation)
Presenter: Bo Yang
Date: 08/05/19 - Title: A Fuzzy Deep-learning-based Fully Automated Segmentation Method in PET Images (Qualify Exam Practice Presentation)
Presenter: Ziping Liu
Date: 05/17/19 - Title: Generative Modeling of Neuroimaging Data using Generative Adversarial Networks (Qualify Exam Practice Presentation)
Presenter: Andrew Van
Date: 05/13/19 - Title: Generative Adversarial Nets
Presenter: Andrew Van
Date: 02/18/19 - Title: Joint Solution for PET Image Segmentation, Denoising, and Partial Volume Correction (link)
Presenter: Ziping Liu
Date: 02/04/19 - Title: Time-of-flight PET data determine the attenuation sinogram up to a constant (Part 2)
Presenter: Tingting Wu
Date: 11/13/18 - Title: Time-of-flight PET data determine the attenuation sinogram up to a constant (Part 1)
Presenter: Tingting Wu
Date: 11/06/18 - Title: Correction for Photon Attenuation without Transmission Measurements Using Compton Scatter Information in SPECT
Presenter: Fu Li
Date: 10/30/18 - Title: Model-based crosstalk compensation for simultaneous 99mTc/123I dual-isotope brain SPECT imaging
Presenter: Hae Sol Moon
Date: 10/23/18 - Title: Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning
Presenter: Sven Olberg
Date: 10/16/18 - Title: Use of measured scatter data for the attenuation correction of single-photon emission tomography without transmission scanning
Presenter: Peng Lu
Date: 10/09/18 - Title: Objective Assessment of Image Quality: II. Fisher Information, Fourier Crosstalk and Figure of Merit for Task Performance (Part 2)
Presenter: Md Ashequr Rahman
Date:10/02/18 - Title: Objective Assessment of Image Quality: II. Fisher Information, Fourier Crosstalk and Figure of Merit for Task Performance (Part 1)
Presenter: Md Ashequr Rahman
Date:09/25/18 - Title: Non-Local Means Denoising of Dynamic PET Images
Presenter: Ziping Liu
Date: 09/11/18 - Title: Experimental Determination of Object Statistics from Noisy Images
Presenter: Abhinav Kumar Jha
Date: 09/04/18