Research graph
References from A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy. Local targets link to admitted publications; unresolved targets remain external evidence.
Global cancer statistics 2022: gLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2024 · External reference
Radiation therapy for cervical cancer: executive summary of an ASTRO clinical practice guideline
10.1016/j.prro.2020.04.002 · 2020 · External reference
Advances in radiotherapy and implications for the next century: a historical perspective
10.1158/0008-5472.can-07-6871 · 2009 · External reference
A review of the clinical evidence for intensity‐modulated radiotherapy
10.1016/j.clon.2010.06.013 · 2010 · External reference
The ICRU Report 83: prescribing, recording and reporting photon‐beam intensity‐modulated radiation therapy (IMRT)
2012 · External reference
Intensity‐modulated radiation therapy: emerging cancer treatment technology
10.1038/sj.bjc.6602577 · 2005 · External reference
Optimized planning using physical objectives and constraints
10.1016/s1053-4296(99)80052-6 · 1999 · External reference
Algorithms and functionality of an intensity modulated radiotherapy optimization system
10.1118/1.598932 · 2000 · External reference
Fast, multiple optimizations of quadratic dose objective functions in IMRT
10.1088/0031-9155/51/14/019 · 2006 · External reference
Predicting dose‐volume histograms for organs‐at‐risk in IMRT planning
10.1118/1.4761864 · 2012 · External reference
Knowledge‐based prediction of plan quality metrics in intracranial stereotactic radiosurgery
10.1118/1.4906183 · 2015 · External reference
Improved robotic stereotactic body radiation therapy plan quality and planning efficacy for organ‐confined prostate cancer utilizing overlap‐volume histogram‐driven planning methodology
10.1016/j.radonc.2014.07.009 · 2014 · External reference
Data‐driven approach to generating achievable dose‐volume histogram objectives in intensity‐modulated radiotherapy planning
10.1016/j.ijrobp.2010.05.026 · 2011 · External reference
Modeling the dosimetry of organ‐at‐risk in head and neck IMRT planning: an intertechnique and interinstitutional study
10.1118/1.4828788 · 2013 · External reference
Fluence‐map generation for prostate intensity‐modulated radiotherapy planning using a deep‐neural‐network
10.1038/s41598-019-52262-x · 2019 · External reference
An artificial intelligence‐driven agent for real‐time head‐and‐neck IMRT plan generation using conditional generative adversarial network (cGAN)
10.1002/mp.14770 · 2021 · External reference
Deep learning‐based inverse mapping for fluence map prediction
10.1088/1361-6560/abc12c · 2020 · External reference
Deep learning‐based fluence map prediction for pancreas stereotactic body radiation therapy with simultaneous integrated boost
10.1016/j.adro.2021.100672 · 2021 · External reference
Accelerate treatment planning process using deep learning generated fluence maps for cervical cancer radiation therapy
10.1002/mp.15530 · 2022 · External reference
DeepEC: an error correction framework for dose prediction and organ segmentation using deep neural networks
10.1002/int.22280 · 2020 · External reference
A novel AP/PA total body irradiation technique using abutting IMRT fields at extended SSD
10.1002/acm2.14213 · 2024 · External reference
Beam's eye view to fluence maps 3D network for ultra fast VMAT radiotherapy planning
10.1002/mp.17673 · 2025 · External reference
Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT
10.1186/s13014-023-02287-4 · 2023 · External reference
Automatic treatment planning based on three‐dimensional dose distribution predicted from deep learning technique
10.1002/mp.13271 · 2019 · External reference
Unresolved reference
1991 · External reference
Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues
10.1016/j.ijrobp.2009.09.040 · 2010 · External reference
A nonconvex optimization approach to IMRT planning with dose‐volume constraints
10.1287/ijoc.2021.1129 · 2022 · External reference
A new algorithm for optimal multileaf collimator field segmentation
10.1016/j.dam.2004.10.007 · 2005 · External reference
An effective implementation of the Lin–Kernighan traveling salesman heuristic
10.1016/s0377-2217(99)00284-2 · 2000 · External reference
Unresolved reference
External reference
Multileaf collimator leaf sequencing algorithm for intensity modulated beams with multiple static segments
10.1118/1.598315 · 1998 · External reference
Minimizing static intensity modulation delivery time using an intensity solid paradigm
10.1016/s0360-3016(98)00430-1 · 1999 · External reference
A GPU‐accelerated Monte Carlo dose engine for external beam radiotherapy
10.1002/mp.17899 · 2025 · External reference
10.1007/978-3-642-01020-0_28
10.1007/978-3-642-01020-0_28 · 2009 · External reference
Automatic radiotherapy planning for deliverable plans using deep learning dose prediction and dose rings optimization in cervical cancer
10.1002/acm2.70353 · 2025 · External reference
Generating deliverable DICOM RT treatment plans for prostate VMAT by predicting MLC motion sequences with an encoder‐decoder network
10.1002/mp.16545 · 2023 · External reference
