MC Awardees
2
2025
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Best Paper: Hoyeon Lee (University of Hong Kong) - A novel 3D-printed brachytherapy applicator and Monte Carlo model for the treatment of conjunctival tumors
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Best Abstract: Gawon Han (University of Alberta) - PCA-based future frame prediction for real-time MRI-guided radiotherapy
2024
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Best Paper: Don-Soo Kim (Boston Children's Hospital) - Age-specific Dose Catalog for Diagnostic Fluoroscopy and Fluoroscopically Guided Interventional Procedures from a Pediatric Hospical
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Best Paper: Euidam Kim (Hanyang University, Seoul, Korea) - Toxicity Evaluation of Dose-Escalation in Hypofractionated Regional Nodeal Irradiation for Breast Cancer: A Retrospective Study
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Best Abstract: Yeseul Kim (MD Anderson Cancer Center) - An Investigation of the proton dose rate effect under various cellular conditions and beam parameters using Monte Carlo simulations
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Best Abstract: Gawon Han (University of Alberta) - Deep learning-based autocontouring algorithm for non-invasive instrafractional tumor-tracked radiotherapy (nifteRT) on LINAC-MR
2023
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Best Paper in KAMPiNA: Danny Lee (Allegheny Health Network) – Quantifying Liver Heterogeneity via R2*-MRI with Super-Paramagnetic Iron Oxide Nanoparticles (SPION) to Characterize Liver Function and Tumor
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Best Abstract in KAMPiNA: Dae-Myoung Yang (Fox Chase) - Response of tumor and normal tissue to 45MV 5-aminolevulinic acid- (5-ALA)-mediated radiodynamic therapy
2022
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Best Paper in KAMPiNA: Claire Keun Sun Park (Western University) – Spatially tracked whole-breast three-dimensional ultrasound system toward point-of-care breast cancer screening in high-risk women with dense breasts
2021
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Best Paper in KSMP: Jin Ju Kim (KIRAMS & UST) – PET tracing of biodistribution for orally administered 64Cu-labeled polystyrene in mice
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Best Paper in KAMPiNA: Sang Ho Lee (University of Pennsylvania) – Multi-block discriminant analysis of integrative 18F-FDG-PET/CT radiomics for predicting circulating tumor cells in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy
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Best Abstract in KAMPiNA: Jihyun Yun (University of Alberta) – Optimizing the accuracy and training speed of an artificial neural network for 3D tumor trajectory prediction in Linac-MR image-guided radiation therapy
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Best Abstract in KAMPiNA: James J. Sohn (VCU) – A workflow for a patient-specific 3D-printed template with direction modulated brachytherapy (DMBT) tandem applicator for adaptive HDR interstitial brachytherapy
2020
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Best Paper in KAMPiNA: Sang Ho Lee (Johns Hopkins University) - Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy
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Best Paper in KSMP: Hyekyun Chung (Asan Medical) - Reconstruction of implanted marker trajectories from cone-beam CT projection using interdimensional correlation model
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Best Abstract in KAMPiNA: Hosang Jin (Univ. of Oklahoma) - Enhanced tumor cell control by boron in proton beam therapy
2019
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Best Paper in KAMPiNA: Yeon Soo Yeom (NCI) - Posture-dependent dose coefficients of mesh-type ICRP reference computational phantoms for photon external exposures
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Best Paper in KSMP: Donghoon Lee (Yonsei Univ.) - Development of a deep neural network for generating synthetic dual-energy chest X-ray images with single X-ray exposure
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Best Abstract in KAMPiNA: Sang-June Park (UCLA) - High dose rate interstitial spine brachytherapy using an intraoperative mobile CT guided surgical navigation system
2018
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Best Paper in KAMPiNA: Uikyu Je (UT Southwestern) - Indirect measurement of high grid strip densities over Nyquist sampling rate based on the moiré pattern analysis for quality assurance in grid manufacturing
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Best Paper in KSMP: Hyekyun Chung (Asan Medical) - Reconstruction of implanted marker trajectories from cone-beam CT projection using interdimensional correlation model
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Best Abstract in KAMPiNA: Hosang Jin (Univ. of Oklahoma) - Enhanced tumor cell control by boron in proton beam therapy
2017
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Best Paper: James J. Jung (UF) - Comparison between proton boron fusion therapy (PBFT) and boron neutron capture therapy (BNCT): a Monte Carlo study
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Best Paper: Eunsin Lee (Univ. of Cincinnati) - Functional lung avoidance and response- adaptive escalation (FLARE) RT: multimodality plan dosimetry of a precision radiation oncology strategy
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Best Abstract: Sang Ho Lee (MSKCC) - Correlation between FDG-PET SUV max and DCE-MRI microvascular parameters in non-small cell lung cancer (NSCLC)
2016
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Best Scientific Paper: Jongmin Cho (Oklahoma Univ.) - Feasibility of hydrogel fiducial markers for in vivo proton range verification using PET
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Best Clinical Paper: Danny Lee (VCU) - Audiovisual biofeedback improves cine-magnetic resonance imaging measured lung tumor motion consistency
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Best Scientific Pape: Seyoun Park (Duke) - Predicting radiation-induced xerostomia by dosimetrically accounting for daily setup uncertainty during head and neck IMRT
2015
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Best Science Paper: Youngho Seo (UCSF) – Multipinhole collimator with 20 apertures for a brain SPECT application
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Best Clinical Paper: Peter C. Park (Emory Univ.) – MRI-Based Computed Tomography Metal Artifact Correction Method for Improving Proton Range Calcuation Accuracy
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Best Science Abstract: Jongmin Cho (MD Anderson) – PET-detectable bimetallic (Zn@Au) nanoparticles for radiotherapy and molecular imaging applications
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Best Clinical Abstract: Jihyung Yoon (East Carolina Univ.) – Four-dimensional dose reconstruction through retrospective phase determination using cine images of electronic portal imaging device
2014
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Best Abstract: Peter Park (Emory) - A Novel MRI Based CT Artifact Correction Method for Improving Proton Range Calculation in the Presence of Severe CT Artifacts
2013
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Best Abstract: Jongmin Cho (MD Anderson) - Proton beam range verification using proton activated fiducials and off-site PET
2012
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Best Abstract: Jongmin Cho (MD Anderson) - Pilot study of obtaining elemental tissue composition of proton therapy patients using positron emission tomography
2011 (Award started in 2011)
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Best Abstract: Justin C. Park (UCSD) - Fast, iterative, low-dose, cone-beam computed tomography reconstruction using a gradient projection algorithm
