Congratulations to our medical physics faculty, staff and students who have submitted abstracts for AAPM, ASTRO and ABS.
| Conferences | Authors | Abstract Titles |
| AAPM | Yongsook C. Lee, Mehran Nik Akhtar, Yongbok Kim, Jae Won Jung | Sensitivity of contributing factors to central-axis heterogeneity corrections in ocular brachytherapy using a 16-mm COMS plaque loaded with 125I seeds |
| AAPM | Yongsook C. Lee, Mehran Nik Akhtar, Yongbok Kim, Jae Won Jung | Sensitivity of contributing factors to off-axis heterogeneity corrections for optic disc and macula dose in ocular brachytherapy using a 16-mm COMS plaque loaded with 125I seeds |
| AAPM | Casey Lee, Ruilin Li, Junzo Chino, Diandra Ayala-Peacock, Oana Craciunescu, Sheridan Meltsner, Yang Sheng, Julie Raffi, Yongbok Kim | Can A Universal Interstitial Cylinder Be Used Instead Of Vaginal Cylinder Plus Interstitial Needles For Endometrial Cancer Treatment? |
| AAPM | Casey Y. Lee and Mandar S. Bhagwat | Field-Size Dependent Backscatter Dose Correction in Superficial HDR Brachytherapy |
| AAPM | Mandar S. Bhagwat, and Casey Y. Lee | Can We Retrieve Lost Backscatter Dose during Superficial HDR Treatments? |
| AAPM | Tyler V. Kay, Anna Price, Eric Martin, Denise Dunn, Victoria Radosova, Andrew Thompson, Stepan Mikhailov, Ying Wu, Zachary J. Reitman, Scott R. Floyd, Mark Oldham | Investigating the FLASH Effect in Normal Rat Brain Using Three Independent Methods: Immunofluorescence, Cytokine Profiling, and Neuron Counting |
| AAPM | V. Parker Radosova, T. Kay, A. Price, E. Martin, D. Dunn, A. Thompson, S. Mikhailov, Y. Wu, S. R. Floyd, Z. J. Reitman, M. Oldham | Assessing FLASH effect of normal brain sparing through confocal microscopy of microglial morphology |
| AAPM | V. Parker Radosova, N. Williams, J. Cart, M. Oldham, C. Lee | Quantifying bone dose from thoracic radiation treatments on clonal hematopoiesis of p53 mutant cells in a small animal model |
| AAPM | J.B. Stevens, Y.M. Mowery, D.M. Brizel, J.G. Liu, W.P. Segars, and K.J. Lafata | In-silico Tumor Modeling and Digital Twins of Oropharyngeal Cancer Based on Assimilation of Mathematical Biology and Clinical Imaging |
| AAPM | J.B. Stevens, J. Je, B.A. Riley, C. Wang, Y.M. Mowery, D.M. Brizel, J.G. Liu, K.J. Lafata | Dynamic modeling of oropharyngeal tumor habitats to interrogate chemoradiation resistance |
| AAPM | Edward R Criscuolo, Deshan Yang | An Approach for the in-Silico Simulation of Human Abdominal Vasculature |
| AAPM | Edward Criscuolo, Yao Hao, Deshan Yang | A Landmark Pair Identification Method in Abdominal Contrast-Enhanced CT Scans for DIR Validation |
| AAPM | Anna E. Rodrigues, Jae Won Jung, Robert A. Corns and Yongbok Kim | Experience with an Inter-Institutional Medical Physics Resident Exchange: An Opportunity for Resource Sharing |
| AAPM | Qiuwen Wu, Xin Wu, Yang Sheng, Qing-Rong Jackie Wu, Anna E. Rodrigues, and Joseph P. Kowalski | A Technique to Deliver Arbitrary Dose Rate IMRT |
| AAPM | Irina Vergalasova, Leah K. Schubert, Hania A. Al-Hallaq, Kristi Rae Gayle Hendrickson, Laura Padilla and Anna E. Rodrigues | Current State of Professionalism Training in Medical Physics Residency Programs from a National Survey |
| AAPM | Wesley Andrew Cunningham, Christian Gibson, Anna E. Rodrigues, Dean Darnell, Mark Oldham, and Justus Adamson | Dosimetry and Image Analysis of Magnetic Hydrogel for Sparing Bowel and Rectum during SBRT |
| AAPM | Austin M. Faught, Yevgeniy Vinogradskiy, Nzhde Agazaryan, Tina Marie Briere, Catherine Coolens, John B Fiveash, Junfang Gao, Taoran Li, Richard A. Popple, Anna E. Rodrigues, Wenyin Shi, Benjamin J. Sintay, Kelly L. Stuhr, Ning Wen, and Stephen F. Kry | National Trends in Multi-Lesion Stereotactic Radiosurgery: An Iroc Survey on the State of the Practice |
| AAPM | Michael Enrique Garcia Alcoser, Trevor McKeown, Hongyu An, H Michael Gach, Yao Hao, and Deshan Yang | Patient-Specific Interfractional Motion Prediction Model for Peripheral Non-Small Cell Lung Cancer Using Deep Learning |
| AAPM | Kai-Cheng Chuang, Yuyao Wu, Lam My Lay, Guoqiang Cui, Jennifer C. O'Daniel, and Justus Adamson | Dosimetric Effect on AI Based Virtual Log File Patient-Specific QA |
| AAPM | Wesley Cunningham, Christian Gibson, Anna E. Rodrigues, Dean Darnell, Mark Oldham, and Justus Adamson | Dosimetry and Image Analysis of Magnetic Hydrogel for Sparing Bowel and Rectum during SBRT |
| AAPM | Lana Wang, Zhenyu Yang, Dominic LaBella, Zachary J. Reitman, John Ginn, Justus Adamson, Kyle Lafata, Evan Calabrese, and Chunhao Wang | Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy |
| AAPM | Neville Choo, Brett Gary Erickson, Ke Lu, William M. Giles and Justus Adamson | Streamlining the Verification of Radiotherapy Contours By Identifying Clinical Relevant Subsections |
| AAPM | Christian Gibson, Wesley Cunningham, Dean Darnell and Justus Adamson | Towards Development of an Electromagnetic System to Control Magnetic Hydrogel for Radiotherapy Applications |
| IC3Ddose | Kawtar Lakrad, Benjamin Quinn, Mark Oldham, Justus Adamson | Monte Carlo Validation and Clinical Applications of a Fully Integrated 3D Dosimetry System |
| AAPM | Casey C. Heirman, Ashlyn G. Rickard, Rico Castillo, Katherine Gonzalez, Allison Pittman, Yvonne M. Mowery, Kyle J. Lafata | Employing preclinical mouse models to computationally interrogate imaging biomarkers of chemoradiation resistance |
| AAPM | Jennifer O'Daniel, Victor Hernandez, Catharine Clark, Marco Esposito, Joerg Lehmann, Andrea McNiven, Igor Olaciregui-Ruiz, Stephen Kry | Prospective Risk Assessment for Treatment Verification Device Validation: FMEA Analysis for TG-360 |
| AAPM | Kai-Cheng Chuang, Orlando Trejo, Jessica Lee, Zhenghua Amy Xia | Multi-Channel 3D Convolutional Neural Network to predict grade 2 xerostomia following definitive radiation for head and neck squamous cell carcinoma |
| ASTRO | Kai-Cheng Chuang, Orlando Trejo, Zhenghua Amy Xia, Jessica Lee | Ensemble of Multi-Channel 3D Convolutional Neural Networks for Prediction of Xerostomia after Definitive Radiation for Head and Neck Squamous Cell Carcinoma |
| AAPM | Zhuoran Jiang, Yankun Lang, Q. Jackie Wu, Liangzhong Xiang, Lei Ren | Towards General Deformable Medical Image Registration using Large Models: A Preliminary Study |
| AAPM | Zhuoran Jiang, Vijay R. Sharma, Mostafa Cham, Steve W. Peterson, Sina Mossahebi, Matthias K. Gobbert, Jerimy C. Polf, Lei Ren | Deep Learning-based Prompt Gamma Imaging for Proton Range Verification: A Monte-Carlo Simulation Study on Patient Data |
| AAPM | Zhendong Zhang, Edward Robert Criscuolo, Yao Hao, and Deshan Yang | A Comprehensive Liver CT Landmark Pair Dataset for Evaluating Deformable Image Registration Algorithms |
| AAPM | Trevor McKeown and Deshan Yang | Automated Metal Artifact Detection and Inpainting for Improved Cardiac Chamber Segmentation and Motion Quantification |
| AAPM | Yuhao Wang, Trevor McKeown, Yao Hao, Hongyu An, H Michael Gach and Deshan Yang | Cardiac Motion Analysis for Guiding the Stereotactic Arrhythmia Radiotherapy |
| AAPM | Kah Kee Ng, Michael Enrique Garcia Alcoser, Trevor McKeown, Yao Hao, H Michael Gach, Hongyu An and Deshan Yang | Real-Time 3D Cardiac Motion Computation from 2D-Cine MRI for Guiding Stereotactic Cardiac Radiation Treatment |
| AAPM | Zhendong Zhang, Trevor McKeown, and Deshan Yang | Simulation of Liver CT Digital Phantoms for Comprehensive Hepatic Vasculature Characterization and Segmentation |
| AAPM | Xiwen Shu, Zhenyu Yang, John Ginn, Ke Lu, Jingtong Zhao, Yibo Xie, Deshan Yang, and Chunhao Wang | Improving Automatic Imaging Segmentation Results Via Uncertainty-Based Margin Correction: A Study of U-Net Based Glioma Segmentation Using Multi-Parametric MRI (MP-MRI) |
| AAPM | Jingtong Zhao, Eugene Vaios, Deshan Yang, Kyle Lafata, Ke Lu, Hangjie Ji, Peter Fecci, Zhenyu Yang and Chunhao Wang | Radiogenomic Explainable AI (XAI) with Neural Ordinary Differential Equation (NODE) for Identifying Post-SRS Brain Metastasis Radionecrosis |
| AAPM | Xiandong Zhao, Xinyuan Chen, Winter Green, Rocco Flores, John Miller, Deshan Yang, Arash Darafsheh, Tianyu Zhao, Stephanie Perkins, Tiezhi Zhang, Yao Hao | Volumetric Repainting Planning in Reducing Irregular Motion Interplay Effect on a Compact Proton Therapy Delivery System |
| AAPM | Deshan Yang, Chunhao Wang, Yao Hao | Develop the Average Human Anatomy Model for Organ Statistics Analysis and Segmentation Error Detection |
| AAPM | Deshan Yang, Chunhao Wang | Multiple-Organ Statistics Shape Modeling for Automatic Segmentation Error Detection |
| AAPM | Xinyi Li, Dongrong Yang, Yang Sheng, Yaorong Ge, Qiuwen Wu, Jackie Wu | When Does an AI Model Break? A Robustness Test on Input Parameters for a Head-and-Neck AI Model for Automatic IMRT Treatment Planning |
| ASTRO | Xinyi Li, Dongrong Yang, Yang Sheng, Yaorong Ge, Qiuwen Wu, Jackie Wu | Control Dosimetric Outcome of AI-generated Plans through OAR Prioritization for Head-and-Neck Cancer: An Investigation on Input Sensitivity |
| ABS | D. Ayala-Peacock, L. Blook, R. Venkataraman, R. Sanford, Y. Kim, J. Chino, J. Raffi, O. Craciunescu | Real Time Transrectal US (TRUS) Guided Needle Insertion and Tracking in Hybrid Image Guided Adaptive Brachytherapy (IGABT) for Cervical Cancer Patients |
| AAPM | Julianna Schreiber Detrick, Yongbok Kim, Chunhao Wang, Scott Robertson, Junzo Chino, Diandra Alaya-Peacock, Oana Craciunescu | Diffusion-weighted imaging (DWI) and the optimal b-value for gross tumor volume (GTV) delineation in cervical cancer patients undergoing external beam radiation therapy (EBRT) followed by high dose rate (HDR) brachytherapy |
| ABS | L. Bloom, J. Raffi, R. Venkataraman, P. Segars, D. Ayala-Peacock, O. Craciunescu | A Novel Method for Validation of MR/TRUS Deformable Registration for Real-Time Needle Guidance in Gynecological HDR Brachytherapy |
| AAPM | L. Bloom, O. Craciunescu, R. Venkataraman, Y. Kim, P. Segars, D. Ayala-Peacock, J. Raffi | Investigation of Deformable Registration Accuracy for a Real-Time TRUS Needle Tracking System for GYN HDR Brachytherapy |
| AAPM | Julie Raffi | International Council Symposium: Global Medical Physics Activities: Where Are We Putting Our Emphasis; Capacity Building, Clinical Practice or Research? The Importance of Developing Clinical Practice |
| AAPM | Dongrong Yang, Xin Wu, Xinyi Li, Ryan Mansfield, Qing-Rong Jackie Wu, Qiuwen Wu,Yang Sheng | Fully Automated Head-and-Neck Cancer Inverse Treatment Planning Using Deep Reinforcement Learning |
| AAPM | Dongrong Yang, William Paul Segars, Qing-Rong Jackie Wu, Yang Sheng | Lung Cancer Computed Tomography Synthesis with Denoising Diffusion Probabilistic Models |
| ASTRO | Dongrong Yang, Xinyi Li, Sua Yoo, Rachel Blitzblau, Susan McDuff, Sarah Stephens, Paul Segars, Qing-Rong Jackie Wu, Fang-fang Yin, Yang Sheng | A Reinforcement Learning Approach to Automate Breast Radiation Therapy Treatment Planning using Electronic Compensation (ECOMP) |
| ASTRO | Dongrong Yang, Xin Wu, Xinyi Li, Ryan Mansfield, Qing-Rong Jackie Wu, Qiuwen Wu,Yang Sheng | Automated Treatment Planning with Deep Reinforcement Learning for Head-and-Neck Cancer Intensity Modulated Radiation Therapy |
| ASTRO | Ryan Mansfield, John Ginn, Trey Mullikin, Jackie Wu, Yang Sheng | Vertices Geometric Efficiency Optimization for Lung Cancer GRID Therapy Treatment Planning |
| ASTRO | Scott Reid, Xinyi Li, Qing-Rong Jackie Wu, Yang Sheng | Training a Diffusion-GAN to Improve the Head-and-Neck Intensity Modulated Radiation Therapy Fluence Generator |
| ASTRO | Xin Wu, Jainil Shah, Patrick Wohlfahrt, Qiuwen Wu, Qing-Rong Jackie Wu, Yang Sheng | Accuracy Assesment of Photon-Counting CT for Dose Calculation in Photon Therapy |
| ASTRO | Xin Wu, Patrick Wohlfahrt, Jainil Shah, Qiuwen Wu, Qing-Rong Jackie Wu, Yang Sheng | Using virtual monoenergetic images and electron density (Rho) images from photon-counting CT (PCCT) for radiation therapy (RT) dose calculation: A comparison study |
| AAPM | Ke Lu, Casey Lee, Zhenyu Yang, Jingtong Zhao, Trey Mullikin, Chunhao Wang | Deep Diffused Ensemble Learning for CT Image Metal Artifact Reduction |