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The emergence of artificial general intelligence (AGI) is transforming radiation oncology.
Cobalt-60 beam therapy in carcinoma of the esophagus
JS Lott and Ivan H Smith · 1958
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A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density
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Adaptive radiation therapy
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American brachytherapy society (abs) recommendations for transperineal permanent brachytherapy of prostate cancer
Subir Nag, David Beyer, Jay Friedland, Peter Grimm, and Ravinder Nath · 1999
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A model to accumulate fractionated dose in a deforming organ
Di Yan, DA Jaffray, and JW Wong · 1999
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Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates
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Tracking the dose distribution in radiation therapy by accounting for variable anatomy
B Schaly, JA Kempe, GS Bauman, JJ Battista, and J Van Dyk · 2004
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Advances in radiation therapy: conventional to 3d, to imrt, to 4d, and beyond
M Kara Bucci, Alison Bevan, and Mack Roach III · 2005
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Modelling individual geometric variation based on dominant eigenmodes of organ deformation: implementation and evaluation
M Söhn, M Birkner, D Yan, and M Alber · 2005
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Quantification of regional ventilation from treatment planning ct
Thomas Guerrero, Kevin Sanders, Josue Noyola-Martinez, Edward Castillo, Yin Zhang, Richard Tapia, Rudy Guerra, Yerko Borghero, and Ritsuko Komaki · 2005
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Imrt: a review and preview
Thomas Bortfeld · 2006
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Assessing the effect of electron density in photon dose calculations
Joao Seco and Phil M Evans · 2006
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Automatic contour propagation in cine cardiac magnetic resonance images
Gilion Hautvast, Steven Lobregt, Marcel Breeuwer, and Frans Gerritsen · 2006
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Reduction of normal lung irradiation in locally advanced non–small-cell lung cancer patients, using ventilation images for functional avoidance
Brian P Yaremko, Thomas M Guerrero, Josue Noyola-Martinez, Rudy Guerra, David G Lege, Linda T Nguyen, Peter A Balter, James D Cox, and Ritsuko Komaki · 2007
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Non-parametric diffeomorphic image registration with the demons algorithm
Tom Vercauteren, Xavier Pennec, Aymeric Perchant, and Nicholas Ayache · 2007
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Quantification of exit fluence variations and implications for exit fluence-based dose reconstruction based
JV Siebers, JK Gardner, JJ Gordon, S Wang, and JD Ververs · 2008
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Adapting liver motion models using a navigator channel technique
T-N Nguyen, JL Moseley, LA Dawson, DA Jaffray, and KK Brock · 2009
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Adaptive radiation therapy: technical components and clinical applications
Qingrong Jackie Wu, Taoran Li, Qiuwen Wu, and Fang-Fang Yin · 2011
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A planning quality evaluation tool for prostate adaptive imrt based on machine learning
Xiaofeng Zhu, Yaorong Ge, Taoran Li, Danthai Thongphiew, Fang-Fang Yin, and Q Jackie Wu · 2011
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Deformable image registration for contour propagation from ct to cone-beam ct scans in radiotherapy of prostate cancer
Maria Thor, Jørgen BB Petersen, Lise Bentzen, Morten Høyer, and Ludvig Paul Muren · 2011
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A population-based model to describe geometrical uncertainties in radiotherapy: applied to prostate cases
E Budiarto, M Keijzer, PR Storchi, MS Hoogeman, L Bondar, TF Mutanga, HCJ de Boer, and AW Heemink · 2011
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Impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy
Tokihiro Yamamoto, Sven Kabus, Jens Von Berg, Cristian Lorenz, and Paul J Keall · 2011
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Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration
Michael Velec, Joanne L Moseley, Cynthia L Eccles, Tim Craig, Michael B Sharpe, Laura A Dawson, and Kristy K Brock · 2011
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Robust optimization of intensity modulated proton therapy
Wei Liu, Xiaodong Zhang, Yupeng Li, and Radhe Mohan · 2012
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Influence of robust optimization in intensity-modulated proton therapy with different dose delivery techniques
Wei Liu, Yupeng Li, Xiaoqiang Li, Wenhua Cao, and Xiaodong Zhang · 2012
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Dose deformation-invariance in adaptive prostate radiation therapy: implication for treatment simulations
Manju Sharma, Elisabeth Weiss, and Jeffrey V Siebers · 2012
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A finite element method to correct deformable image registration errors in low-contrast regions
Hualiang Zhong, Jinkoo Kim, Haisen Li, Teamour Nurushev, Benjamin Movsas, and Indrin J Chetty · 2012
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Extra-dimensional demons: a method for incorporating missing tissue in deformable image registration
Sajendra Nithiananthan, Sebastian Schafer, Daniel J Mirota, J Webster Stayman, Wojciech Zbijewski, Douglas D Reh, Gary L Gallia, and Jeffrey H Siewerdsen · 2012
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The importance of clinical trial data sharing: toward more open science
Joseph S Ross, Richard Lehman, and Cary P Gross · 2012
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Predicting outcomes in radiation oncology—multifactorial decision support systems
Philippe Lambin, Ruud GPM Van Stiphout, Maud HW Starmans, Emmanuel Rios-Velazquez, Georgi Nalbantov, Hugo JWL Aerts, Erik Roelofs, Wouter Van Elmpt, Paul C Boutros, Pierluigi Granone, et al · 2013
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Ptv-based impt optimization incorporating planning risk volumes vs robust optimization
Wei Liu, Steven J Frank, Xiaoqiang Li, Yupeng Li, Ron X Zhu, and Radhe Mohan · 2013
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Effects of respiratory motion on passively scattered proton therapy versus intensity modulated photon therapy for stage iii lung cancer: are proton plans more sensitive to breathing motion?
Jason Matney, Peter C Park, Jaques Bluett, Yi Pei Chen, Wei Liu, Laurence E Court, Zhongxing Liao, Heng Li, and Radhe Mohan · 2013
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A contour-guided deformable image registration algorithm for adaptive radiotherapy
Xuejun Gu, Bin Dong, Jing Wang, John Yordy, Loren Mell, Xun Jia, and Steve B Jiang · 2013
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Proton beam therapy for locally advanced lung cancer: A review
Steven E Schild, William G Rule, Jonathan B Ashman, Sujay A Vora, Sameer Keole, Aman Anand, Wei Liu, and Martin Bues · 2014
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An automatic approach for satisfying dose-volume constraints in linear fluence map optimization for impt
Maryam Zaghian, Gino Lim, Wei Liu, and Radhe Mohan · 2014
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Artificial general intelligence: concept, state of the art, and future prospects
Ben Goertzel · 2014
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A novel method to quantify and compare anatomical shape: application in cervix cancer radiotherapy
Seungjong Oh, David Jaffray, and Young-Bin Cho · 2014
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Impact of respiratory motion on worst-case scenario optimized intensity modulated proton therapy for lung cancers
Wei Liu, Zhongxing Liao, Steven E Schild, Zhong Liu, Heng Li, Yupeng Li, Peter C Park, Xiaoqiang Li, Joshua Stoker, Jiajian Shen, et al · 2015
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Contextual atlas regression forests: multiple-atlas-based automated dose prediction in radiation therapy
Chris McIntosh and Thomas G Purdie · 2015
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Atlas-guided prostate intensity modulated radiation therapy (imrt) planning
Yang Sheng, Taoran Li, You Zhang, W Robert Lee, Fang-Fang Yin, Yaorong Ge, and Q Jackie Wu · 2015
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Models for predicting objective function weights in prostate cancer imrt
Justin J Boutilier, Taewoo Lee, Tim Craig, Michael B Sharpe, and Timothy CY Chan · 2015
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Near real-time assessment of anatomic and dosimetric variations for head and neck radiation therapy via graphics processing unit–based dose deformation framework
X Sharon Qi, Anand Santhanam, John Neylon, Yugang Min, Tess Armstrong, Ke Sheng, Robert J Staton, Jason Pukala, Andrew Pham, Daniel A Low, et al · 2015
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Exploratory study of 4d versus 3d robust optimization in intensity modulated proton therapy for lung cancer
Wei Liu, Steven E Schild, Joe Y Chang, Zhongxing Liao, Yu-Hui Chang, Zhifei Wen, Jiajian Shen, Joshua B Stoker, Xiaoning Ding, Yanle Hu, et al · 2016
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Fast predictive image registration
Xiao Yang, Roland Kwitt, and Marc Niethammer · 2016
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Proton therapy–present and future
Radhe Mohan and David Grosshans · 2017
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Comparison of linear and nonlinear programming approaches for “worst case dose” and “minmax” robust optimization of intensity-modulated proton therapy dose distributions
Maryam Zaghian, Wenhua Cao, Wei Liu, Laleh Kardar, Sharmalee Randeniya, Radhe Mohan, and Gino Lim · 2017
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Exploratory study of the association of volumetric modulated arc therapy (vmat) plan robustness with local failure in head and neck cancer
Wei Liu, Samir H Patel, Daniel P Harrington, Yanle Hu, Xiaoning Ding, Jiajian Shen, Michele Y Halyard, Steven E Schild, William W Wong, Gary E Ezzell, et al · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Robust intensity-modulated proton therapy to reduce high linear energy transfer in organs at risk
Yu An, Jie Shan, Samir H Patel, William Wong, Steven E Schild, Xiaoning Ding, Martin Bues, and Wei Liu · 2017
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Assessment of a knowledge-based rapidplan model for patients with postoperative cervical cancer
Changsheng Ma and Fujing Huang · 2017
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The future of image-guided radiotherapy will be mr guided
Julianne M Pollard, Zhifei Wen, Ramaswamy Sadagopan, Jihong Wang, and Geoffrey S Ibbott · 2017
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Mr-based synthetic ct generation using a deep convolutional neural network method
Xiao Han · 2017
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Deformable image registration in radiation therapy
Seungjong Oh and Siyong Kim · 2017
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Multiple energy extraction reduces beam delivery time for a synchrotron-based proton spot-scanning system
James E Younkin, Martin Bues, Terence T Sio, Wei Liu, Xiaoning Ding, Sameer R Keole, Joshua B Stoker, and Jiajian Shen · 2018
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an efficient daily qa procedure for proton pencil beam scanning
James E Younkin, Jiajian Shen, Martin Bues, Daniel G Robertson, Daniel W Mundy, Edward Clouser, Wei Liu, Xiaoning Ding, and Joshua B Stoker · 2018
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Deformable image registration using a cue-aware deep regression network
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, and Dinggang Shen · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Impact of spot size and spacing on the quality of robustly optimized intensity modulated proton therapy plans for lung cancer
Chenbin Liu, Steven E Schild, Joe Y Chang, Zhongxing Liao, Shawn Korte, Jiajian Shen, Xiaoning Ding, Yanle Hu, Yixiu Kang, Sameer R Keole, et al · 2018
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An ensemble approach to knowledge-based intensity-modulated radiation therapy planning
Jiahan Zhang, Q Jackie Wu, Tianyi Xie, Yang Sheng, Fang-Fang Yin, and Yaorong Ge · 2018
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Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging–only radiation therapy
Emily Johnstone, Jonathan J. Wyatt, Ann M. Henry, Susan C. Short, David Sebag-Montefiore, Louise Murray, Charles G. Kelly, Hazel M. McCallum, and Richard Speight · 2018
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Dose evaluation of fast synthetic-ct generation using a generative adversarial network for general pelvis mr-only radiotherapy
Matteo Maspero, Mark HF Savenije, Anna M Dinkla, Peter R Seevinck, Martijn PW Intven, Ina M Jurgenliemk-Schulz, Linda GW Kerkmeijer, and Cornelis AT van den Berg · 2018
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Deep embedding convolutional neural network for synthesizing ct image from t1-weighted mr image
Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, and Dinggang Shen · 2018
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Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging–only radiation therapy
Emily Johnstone, Jonathan J Wyatt, Ann M Henry, Susan C Short, David Sebag-Montefiore, Louise Murray, Charles G Kelly, Hazel M McCallum, and Richard Speight · 2018
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The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy
Lian Zhang, Zhi Wang, Chengyu Shi, Tengfei Long, and X George Xu · 2018
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Deep learning based inter-modality image registration supervised by intra-modality similarity
Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, and Dinggang Shen · 2018
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Diffeomorphic lung registration using deep cnns and reinforced learning
Jorge Onieva Onieva, Berta Marti-Fuster, María Pedrero de la Puente, and Raúl San José Estépar · 2018
Cited alongside, same era.
Respiratory motion correction for free-breathing 3d abdominal mri using cnn-based image registration: a feasibility study
Jun Lv, Ming Yang, Jue Zhang, and Xiaoying Wang · 2018
Cited alongside, same era.
System and method for robust intensity-modulated proton therapy planning, August 2019
Wei Liu · 2019
Cited alongside, same era.
Expression of icosl is associated with decreased survival in invasive breast cancer
Bin Wang, Huayong Jiang, Tingyang Zhou, Ning Ma, Wei Liu, Yajie Wang, and Li Zuo · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Cited alongside, same era.
Discovering dynamic functional brain networks via spatial and channel-wise attention
Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, and Bao Ge · 2022
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Graph representation neural architecture search for optimal spatial/temporal functional brain network decomposition
Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, et al · 2022
Later among the works it cites.
Towards artificial general intelligence via a multimodal foundation model
Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, et al · 2022
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Multiinstruct: Improving multi-modal zero-shot learning via instruction tuning
Zhiyang Xu, Ying Shen, and Lifu Huang · 2022
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Gpu-accelerated monte carlo-based online adaptive proton therapy: A feasibility study
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Big data readiness in radiation oncology: An efficient approach for relabeling radiation therapy structures with their tg-263 standard name in real-world data sets
Thilo Schuler, John Kipritidis, Thomas Eade, George Hruby, Andrew Kneebone, Mario Perez, Kylie Grimberg, Kylie Richardson, Sally Evill, Brooke Evans, and Blanca Gallego · 2019
Cited alongside, same era.
Practical clinical workflows for online and offline adaptive radiation therapy
Olga L Green, Lauren E Henke, and Geoffrey D Hugo · 2019
Cited alongside, same era.
Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique
Jiawei Fan, Jiazhou Wang, Zhi Chen, Chaosu Hu, Zhen Zhang, and Weigang Hu · 2019
Cited alongside, same era.
A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy
Zhiqiang Liu, Jiawei Fan, Minghui Li, Hui Yan, Zhihui Hu, Peng Huang, Yuan Tian, Junjie Miao, and Jianrong Dai · 2019
Cited alongside, same era.
3d radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected u-net deep learning architecture
Dan Nguyen, Xun Jia, David Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, and Steve Jiang · 2019
Cited alongside, same era.
Automated robust proton planning using dose-volume histogram-based mimicking of the photon reference dose and reducing organ at risk dose optimization
Roel GJ Kierkels, Albin Fredriksson, Stefan Both, Johannes A Langendijk, Daniel Scandurra, and Erik W Korevaar · 2019
Cited alongside, same era.
Deep learning in medical imaging and radiation therapy
Berkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H Cha, Ronald M Summers, and Maryellen L Giger · 2019
Cited alongside, same era.
Hongying Feng, Samir H Patel, William W Wong, James E Younkin, Gregory P Penoncello, Danairis Hernandez Morales, Joshua B Stoker, Daniel G Robertson, Mirek Fatyga, Martin Bues, et al · 2022
Later among the works it cites.
Artificial intelligence for outcome modeling in radiotherapy
Sunan Cui, Andrew Hope, Thomas J Dilling, Laura A Dawson, Randall Ten Haken, and Issam El Naqa · 2022
Later among the works it cites.
Advances in automated treatment planning
Dan Nguyen, Mu-Han Lin, David Sher, Weiguo Lu, Xun Jia, and Steve Jiang · 2022
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Virtual particle monte carlo: A new concept to avoid simulating secondary particles in proton therapy dose calculation
Jie Shan, Hongying Feng, Danairis Hernandez Morales, Samir H Patel, William W Wong, Mirek Fatyga, Martin Bues, Steven E Schild, Robert L Foote, and Wei Liu · 2022
Later among the works it cites.
A deep learning approach to generate synthetic ct in low field mr-guided radiotherapy for lung cases
Jacopo Lenkowicz, Claudio Votta, Matteo Nardini, Flaviovincenzo Quaranta, Francesco Catucci, Luca Boldrini, Marica Vagni, Sebastiano Menna, Lorenzo Placidi, Angela Romano, et al · 2022
Later among the works it cites.
Synthetic ct generation for mri-guided adaptive radiotherapy in prostate cancer
Shu-Hui Hsu, Zhaohui Han, Jonathan E Leeman, Yue-Houng Hu, Raymond H Mak, and Atchar Sudhyadhom · 2022
Later among the works it cites.
Segment anything model (sam) for radiation oncology
Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, et al · 2023
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Deep-learning based fast and accurate 3d ct deformable image registration in lung cancer
Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W Wong, Nathan Y Yu, Terence T Sio, Steven E Schild, et al · 2023
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Large language model ai chatbots require approval as medical devices
Stephen Gilbert, Hugh Harvey, Tom Melvin, Erik Vollebregt, and Paul Wicks · 2023
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Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2023
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Videomae v2: Scaling video masked autoencoders with dual masking
Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, and Yu Qiao · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Radiology-gpt: A large language model for radiology
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, et al · 2023
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Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, et al · 2023
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Pharmacygpt: The ai pharmacist
Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, et al · 2023
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Impressiongpt: An iterative optimizing framework for radiology report summarization with chatgpt
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, et al · 2023
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Artificial general intelligence for medical imaging
Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, et al · 2023
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Cohortgpt: An enhanced gpt for participant recruitment in clinical study
Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, and Ninghao Liu · 2023
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Chataug: Leveraging chatgpt for text data augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, et al · 2023
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Fine-grained artificial neurons in audio-transformers for disentangling neural auditory encoding
Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, et al · 2023
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Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, et al · 2023
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Deid-gpt: Zero-shot medical text de-identification by gpt-4
Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, et al · 2023
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Differentiate chatgpt-generated and human-written medical texts
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, et al · 2023
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Summary of chatgpt/gpt-4 research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, et al · 2023
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Evaluating large language models for radiology natural language processing
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, et al · 2023
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Evaluating large language models on a highly-specialized topic, radiation oncology physics
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T Sio, Lisa A McGee, Jonathan B Ashman, Xiang Li, Tianming Liu, Jiajian Shen, et al · 2023
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Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, et al · 2023
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On the opportunities and challenges of foundation models for geospatial artificial intelligence
Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, et al · 2023
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Artificial general intelligence (agi) for education
Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, and Xiaoming Zhai · 2023
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When brain-inspired ai meets agi
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, et al · 2023
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Standardising breast radiotherapy structure naming conventions: A machine learning approach
Ali Haidar, Matthew Field, Vikneswary Batumalai, Kirrily Cloak, Daniel Al Mouiee, Phillip Chlap, Xiaoshui Huang, Vicky Chin, Farhannah Aly, Martin Carolan, Jonathan Sykes, Shalini K. Vinod, Geoffrey P. Delaney, and Lois Holloway · 2023
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Multimodal deep learning methods on image and textual data to predict radiotherapy structure names
Priyankar Bose, Pratip Rana, William C. Sleeman, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta, and Preetam Ghosh · 2023
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Mask-guided bert for few shot text classification
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, et al · 2023
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A generic framework for embedding human brain function with temporally correlated autoencoder
Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, and Tianming Liu · 2023
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Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, et al · 2023
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Context matters: A strategy to pre-train language model for science education
Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, and Xiaoming Zhai · 2023
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Meta-radiology
Yuchou Chang, Zhiqiang Li, Gulfam Saju, Hui Mao, and Tianming Liu · 2023
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Chatabl: Abductive learning via natural language interaction with chatgpt
Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, et al · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Instruction-vit: Multi-modal prompts for instruction learning in vit
Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, et al · 2023
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Core-periphery principle guided redesign of self-attention in transformers
Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, and Dajiang Zhu · 2023
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Samaug: Point prompt augmentation for segment anything model
Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, et al · 2023
Closest in time.
Hierarchical semantic tree concept whitening for interpretable image classification
Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, et al · 2023
Closest in time.
Lian Zhang, Jason M Holmes, Zhengliang Liu, Sujay A Vora, Terence T Sio, Carlos E Vargas, Nathan Y Yu, Sameer R Keole, Steven E Schild, Martin Bues, et al · 2023
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Community graph convolution neural network for alzheimer’s disease classification and pathogenetic factors identification
Xia-An Bi, Ke Chen, Siyu Jiang, Sheng Luo, Wenyan Zhou, Zhaoxu Xing, Luyun Xu, Zhengliang Liu, and Tianming Liu · 2023
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Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, and Shijie Zhao · 2023
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, et al · 2023
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Feilong Chen, Minglun Han, Haozhi Zhao, Qingyang Zhang, Jing Shi, Shuang Xu, and Bo Xu · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Chatbridge: Bridging modalities with large language model as a language catalyst
Zijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, and Jing Liu · 2023
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Videochat: Chat-centric video understanding
KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao · 2023
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Gpt4tools: Teaching large language model to use tools via self-instruction
Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, and Ying Shan · 2023
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Ct synthesis from mr in the pelvic area using residual transformer conditional gan
Bo Zhao, Tingting Cheng, Xueren Zhang, Jingjing Wang, Hong Zhu, Rongchang Zhao, Dengwang Li, Zijian Zhang, and Gang Yu · 2023
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Compensation cycle consistent generative adversarial networks (comp-gan) for synthetic ct generation from mr scans with truncated anatomy
Yao Zhao, He Wang, Cenji Yu, Laurence E Court, Xin Wang, Qianxia Wang, Tinsu Pan, Yao Ding, Jack Phan, and Jinzhong Yang · 2023
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Dc-cyclegan: bidirectional ct-to-mr synthesis from unpaired data
Jiayuan Wang, QM Jonathan Wu, and Farhad Pourpanah · 2023
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Segment anything meets point tracking
Frano Rajič, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, and Fisher Yu · 2023
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