Introduction
The CMIT 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:
Zekun Li (zekunli at wustl dot edu)
Yan Liu (liu dot yan at wustl dot edu)
Journal Club Schedule
- Title: Development of Image-Segmentation and Objective Evaluation Methods for Quantitative Nuclear-Medicine Imaging (BME PhD Dissertation Defense practice)
Presenter: Ziping Liu
Date: 04/06/2023 - Title: Invited talk | Post-doc applicant
Presenter: Naveen Paluru
Date: 04/04/2023 - Title: Poster presentation practice for 2023 WashU Imaging Sciences Pathway Retreat
Presenters: Kweku Enninful, Zekun Li, Yan Liu, Ziping Liu
Date: 03/28/2023 - Title: Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies, and role of the physician
Presenters: Nuri Choi and Zezhang Yang
Date: 03/21/2023 - Title: Development and Objective Task-based Evaluation of Deep Learning-Based Methods for Clinical Single-Photon Emission Computed Tomography (BME PhD Dissertation Proposal Practice)
Presenter: Zitong Yu
Date: 03/07/2023 - Title: Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET (SPIE 2023 Medical Imaging Conference Oral Presentation practice)
Presenter: Ziping Liu
Date: 02/10/2023 - Title: Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT (SPIE 2023 Medical Imaging Conference Oral Presentation practice)
Presenter: Zitong Yu
Date: 02/02/2023 - Title: A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT (SPIE 2023 Medical Imaging Conference Poster Presentation practice)
Presenter: Md Ashequr Rahman
Date: 01/25/2023 - Title: Developing task-specific computational methods for improving clinical SPECT (Imaging Science PhD Annual Update practice)
Presenter: Md Ashequr Rahman
Date: 01/10/2023 - Title: PET Image Reconstruction Using Kernel Method
Presenter: Ling Cai
Date: 11/15/2022 - Title: Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework
Presenter: Huitian Xia
Date: 11/08/2022 - Title: An Ultrahigh Energy Resolution SPECT System for Quantitative Hyperspectral Imaging of Targeted Alpha Therapy
Presenter: Ling Cai
Date: 11/01/2022 - Title: Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard
Presenter: Rezwana Razzaque
Date: 10/25/2022 - Title: Deep learning–based denoising of low‑dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
Presenter: Kweku Enninful
Date: 10/11/2022 - Title: Development of AI-based image-analysis method for assessment of carotid atherosclerosis for prediction of stroke by PET/MRI (WashU Imaging Science Program PhD Dissertation Proposal practice talk)
Presenter: Ran Li
Date: 10/04/2022 - Title: Q&A Session for Zekun Li’s PhD Dissertation Proposal practice
Date: 09/13/2022 - Title: Projection-domain low-count quantitative SPECT methods for α-particle emitting radiopharmaceutical therapies (WashU BME PhD Dissertation Proposal practice talk)
Presenter: Zekun Li
Date: 09/05/2022 - Title: Investigating the generalizability of AI-based segmentation methods for oncologic PET (CMIT Lab 2022 Summer Internship)
Presenter: Sainath Vavilapalli
Date: 08/17/2022 - Title: Hidden Markov Random Field-based image segmentation method for low-count SPECT in α-particle radiopharmaceutical therapies (CMIT Lab 2022 Summer Internship)
Presenter: Uttkarsh Chaurasia
Date: 08/03/2022 - Title: A Memory-Efficient Dynamic Image Reconstruction Method using Neural Fields
Presenter: Luke Lozenski
Date: 07/20/2022 - Title: Need for objective task-based evaluation of segmentation methods in oncological PET: a study with ACRIN 6668/RTOG 0235 multi-center clinical trial data (2022 SNMMI Annual Meeting practice talk)
Presenter: Ziping Liu
Date: 06/01/2022 - Title: Optimizing model observer performance in learning-based CT reconstruction
Authors: Ongie G, Sidky EY, Reiser IS, Pan X
Presenter: Md Ashequr Rahman
Title: A task-informed model training method for deep neural network-based image denoising
Authors: Li K, Li H, Anastasio MA
Presenter: Zitong Yu
Date: 04/20/2022 - Title: A guide to Combat harmonization of imaging biomarkers in multicenter studies
Authors: Orlhac F, Eertink JJ, Cottereau AS, Zijlstra JM, Thieblemont C, Meignan MA, Boellaard R, Buvat I
Presenter: Yan Liu
Date: 12/28/2021 - Title: Adaptive Ensemble of Deep Neural Networks for Robust Denoising in Low-dose CT Imaging (2021 Fully3D Meeting)
Authors: Wu D, et al
Presenter: Zekun Li
Date: 07/28/2021 - Title: 3D 2-AFC Web Application Development (2021 CMIT Lab Summer Internship)
Presenter: Madison Rogers
Date: 07/21/2021 - Title: A multiple-energy-window projection-domain quantitative SPECT method for joint regional uptake quantification of Th-227 and Ra-223 (2021 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) practice talk)
Presenter: Zekun Li
Date: 07/07/2021 - Title: Patient-specific task-based optimization of image acquisition and reconstruction in SPECT
Presenter: Md Ashequr Rahman
Date: 06/21/2021 - Title: A projection-domain quantification method for absolute quantification with low-count SPECT for alpha-particle radiopharmaceutical therapy (SNMMI 2021 Annual Meeting Practice talk)
Presenter: Zekun Li
Date: 05/26/2021 - Title: Discussion on nuisance parameters
Presenter: Zitong Yu
Date: 05/12/2021 - Title: Is there a role for imaging science in the brave new world of artificial intelligence?
Author: Barrett HH
Presenter: Zekun Li
Date: 04/14/2021 - Title: Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images (SPIE 2021 Medical Imaging Conference practice talk)
Presenter: Ziping Liu
Title: Task-based assessment of binned and list-mode SPECT systems (SPIE 2021 Medical Imaging Conference practice talk)
Presenter: Md Ashequr Rahman
Title: A physics and learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT (SPIE 2021 Medical Imaging Conference practice talk)
Presenter: Zitong Yu
Date: 01/27/2021 - Title: CT-Less Attenuation Correction in Image Space Using Deep Learning for Dedicated Cardiac SPECT: A Feasibility Study (SNMMI 2020 Annual Meeting)
Authors: Yang J, Shi L, Wang R, Liu C, Gullberg G, Seo Y
Presenter: Zitong Yu
Title: Attenuation Correction for Amyloid and Tau PET Imaging Using Deep Learning Based on 3D UTE/Multi-echo Dixon MR Images (SNMMI 2020 Annual Meeting)
Authors: Gong K, Han P, Johnson K, El Fakhri G, Ma C, Li Q
Presenter: Ziping Liu
Title: A deep learning-based approach for disease detection in the projection space of DAT-SPECT images of patients with Parkinson’s disease (SNMMI 2020 Annual Meeting)
Authors: Leung K, Shao W, Solnes L, Rowe S, Pomper M, Du Y
Presenter: Md Ashequr Rahman
Title: Quantitative Assessment of Deep Learning-enhanced Actual Ultra-low-dose Amyloid PET/MR Imaging (SNMMI 2020 Annual Meeting)
Authors: Chen K, Holley D, Halbert K, Toueg T, Boumis A, Kennedy G, Mormino E, Khalighi M, Zaharchuk G
Presenter: Zekun Li
Date: 08/06/2020 - Title: Model-based reconstruction in List-mode SPECT (Imaging Science Qualifying Exam practice)
Presenter: Md Ashequr Rahman
Date: 07/23/2020 - Title: AI-based Methods for Nuclear-Medicine Imaging: Need for Objective Task-specific Evaluation (SNMMI Annual Meeting 2020 practice talk)
Presenter: Zitong Yu
Title: A Physics-guided and Learning-based Estimation Method for Segmenting 3D DaTscan SPECT Images (SNMMI Annual Meeting 2020 practice talk)
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 Qualifying Exam practice)
Presenter: Zekun Li
Date: 05/20/2020 - Title: Integrating Physics, AI, and Task-specific Evaluation for SPECT reconstruction (BME Qualifying 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