Medical Physics & Engineering

Research output

Research output per year 2014 2019 2020 2021 2022 2023 2024

• 266 Article
• 37 Conference contribution
• 11 Review article
• 8 Chapter
• 14 More
  • 5 Editorial
  • 4 Conference article
  • 3 Comment/debate
  • 2 Letter

Research output per year

Research output per year

Search results

• 2018

  Design studies of a high-performance onboard positron emission tomography for integrated small animal PET/CT/RT radiation research systems

  Shao, Y., Zhong, Y., Cheng, X. & Hu, K., 2018, Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018. Castillo, O., Feng, D. D., Korsunsky, A. M., Douglas, C. & Ao, S. I. (eds.). Newswood Limited, (Lecture Notes in Engineering and Computer Science; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron emission tomography 100%
  • Animals 69%
  • Radiation 56%
  • Detectors 24%
  • Radiotherapy 12%

• Performance comparison of two SiPM arrays with matrix or row/column output electrodes for PET and radiation detector applications

  Hu, K., Cheng, X., Zhong, Y. & Shao, Y., Nov 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8824588. (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 1-myristoyl-2-palmitoyl-sn-glycero-3-phosphocholine 100%
  • radiation detectors 69%
  • Electrodes 52%
  • Radiation 45%
  • anodes 44%
  3 Scopus citations
• 2019

  4D Reconstruction with Projection and Image Domain Motion Estimation

  Zhou, S., Chi, Y., Wang, J. & Jin, M., Oct 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc., 9059929. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motion estimation 100%
  • projection 74%
  • Computer-Assisted Image Processing 70%
  • image reconstruction 60%
  • Image reconstruction 59%

• A novel deep learning framework for standardizing the label of OARs in CT

  Yang, Q., Chao, H., Nguyen, D. & Jiang, S., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 52-60 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computed Tomography 100%
  • Tomography 67%
  • Learning 63%
  • Deep learning 62%
  • Labels 59%
  8 Scopus citations

• Application of deep neural networks for automatic planning in radiation oncology treatments

  Barragán-Montero, A. M., Nguyen, D., Lu, W., Lin, M., Geets, X., Sterpin, E. & Jiang, S., 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), p. 161-166 6 p. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Oncology 100%
  • Deep neural networks 72%
  • Radiation 58%
  • Planning 47%
  • Radiotherapy 46%
  2 Scopus citations

• A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer^∗

  Chen, X., Zhou, Z., Thomas, K., Folkert, M., Kim, N., Rahimi, A. & Wang, J., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 2182-2185 4 p. 8857030. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Triple Negative Breast Neoplasms 100%
  • Classifiers 58%
  • Recurrence 47%
  • Sensitivity and Specificity 41%
  • Machine Learning 31%
  6 Scopus citations

• A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy

  Zhou, Z., Qin, G., Yan, P., Hao, H., Jiang, S. & Wang, J., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109502S. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning 100%
  • learning 78%
  • lesions 78%
  • breast 76%
  • Tumors 74%
  1 Scopus citations

• Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning

  Nguyen, D., Barkousaraie, A. S., Shen, C., Jia, X. & Jiang, S., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 59-67 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Radiation Therapy 100%
  • Radiotherapy 80%
  • Dose 71%
  • Planning 66%
  • Target 31%
  17 Scopus citations

• Heterogeneous transfer clustering for partial Co-occurrence data

  Ye, X., Yang, L., Hu, Q., Shen, C., Jing, L. & Du, Z., Nov 2019, Proceedings - IEEE 31st International Conference on Tools with Artificial Intelligence, ICTAI 2019. IEEE Computer Society, p. 1042-1049 8 p. 8995324. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; vol. 2019-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Redundancy 100%
  • Experiments 41%

• Incorporating biomechanical modeling and deep learning into a deformation-driven liver CBCT reconstruction technique

  Zhang, Y., Chen, L., Li, B., Folkert, M., Jia, X., Gu, X. & Wang, J., 2019, Medical Imaging 2019: Physics of Medical Imaging. Schmidt, T. G., Chen, G-H. & Bosmans, H. (eds.). SPIE, 109482I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10948).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep Learning 100%
  • Liver 86%
  • liver 80%
  • learning 78%
  • Deep learning 64%
  3 Scopus citations

• Individualized 3D dose distribution prediction using deep learning

  Ma, J., Bai, T., Nguyen, D., Folkerts, M., Jia, X., Lu, W., Zhou, L. & Jiang, S., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 110-118 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dose 100%
  • Learning 82%
  • Deep learning 81%
  • Prediction 73%
  • Trade-offs 31%
  7 Scopus citations

• Initial Performance Evaluation of a Compact Add-on PET Scanner for Small Animal PET/CT/RT: A Rotating Dual Detector Panel Study

  Cheng, X., Hu, K., Xiong, Z., Yang, D. & Shao, Y., Oct 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc., 9059827. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Congresses 100%
  • animals 97%
  • Animals 97%
  • scanners 95%
  • Evaluation Studies 90%
  1 Scopus citations

• Low-dose CT simulation with a generative adversarial network

  Shan, H., Jia, X., Mueller, K., Kruger, U. & Wang, G., 2019, Developments in X-Ray Tomography XII. Muller, B. & Wang, G. (eds.). SPIE, 111131F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11113).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dose 100%
  • CT Image 78%
  • dosage 60%
  • Simulation 57%
  • Gaussian noise (electronic) 50%
  2 Scopus citations

• Monte Carlo Simulation Study of Annihilation Gamma Yield from C-11 and C-12 Irradiation in Water and PMMA Phantoms

  Chalise, A. R., Chi, Y., Lai, Y., Shao, Y. & Jin, M., Oct 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc., 9059806. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron emission tomography 100%
  • Polymethyl Methacrylate 81%
  • Phantoms 76%
  • Irradiation 73%
  • Positron-Emission Tomography 67%

• Quality-guided deep reinforcement learning for parameter tuning in iterative CT reconstruction

  Shen, C., Tsai, M. Y., Gonzalez, Y., Chen, L., Jiang, S. B. & Jia, X., 2019, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Matej, S. & Metzler, S. D. (eds.). SPIE, 1107203. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11072).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement Learning 100%
  • Parameter Tuning 81%
  • learning 72%
  • reinforcement 70%
  • Reinforcement learning 66%
  4 Scopus citations

• Transfer Learning for Driving Pattern Recognition

  Li, M., Yang, L., Hu, Q., Shen, C. & Du, Z., 2019, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Nayak, A. C. & Sharma, A. (eds.). Springer Verlag, p. 52-65 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11671 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Transfer Learning 100%
  • Transfer learning 63%
  • Pattern Recognition 60%
  • Pattern recognition 46%
  • Labeled data 20%

• Using supervised learning and guided monte carlo tree search for beam orientation optimization in radiation therapy

  Sadeghnejad Barkousaraie, A., Ogunmolu, O., Jiang, S. & Nguyen, D., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Radiation Therapy 100%
  • Supervised Learning 92%
  • Search Trees 85%
  • Radiotherapy 80%
  • Supervised learning 68%
  1 Scopus citations
• 2020

  1D and 3D Prompt Gamma Imaging for dose Monitoring of Particle Therapy

  Jin, M., Chi, Y. & Shao, Y., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • therapy 100%
  • Imaging systems 83%
  • cameras 82%
  • Imaging techniques 79%
  • dosage 69%

• A High-Performance Onboard Small Animal PET for Preclinical Radiotherapy Research

  Cheng, X., Hu, K., Yang, D. & Shao, Y., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Phosphors 100%
  • Polychlorinated Biphenyls 95%
  • Radiotherapy 94%
  • Silicon 91%
  • Phantoms 80%

• A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection

  Rouf, S., Shen, C., Cao, Y., Davis, C., Jia, X. & Lou, Y., 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Springer, p. 208-219 12 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Reconstruction 100%
  • Image reconstruction 80%
  • Neural Networks 72%
  • X rays 70%
  • Principal component analysis 58%

• Design and Development of a Compact High-Resolution Detector for PET Insert in Small Animal Irradiator

  Cheng, X., Hu, K., Yang, D. & Shao, Y., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron emission tomography 100%
  • inserts 80%
  • animals 70%
  • Animals 69%
  • Positron-Emission Tomography 67%
  2 Scopus citations

• Fast and Robust Compression of Deep Convolutional Neural Networks

  Wen, J., Yang, L. & Shen, C., 2020, Artificial Neural Networks and Machine Learning – ICANN 2020 - 29th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P. & Wermter, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 52-63 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12397 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Compression 100%
  • Tensor Decomposition 95%
  • Deep neural networks 95%
  • Neural Networks 92%
  • Convolutional neural networks 89%
  2 Scopus citations

• Performance Evaluation of a GPU-based Monte Carlo Simulation Package for Water Radiolysis with sub-MeV Electrons

  Tsai, M. Y., Lai, Y., Chi, Y., Jia, X. & Hung, S. H., Oct 13 2020, Proceedings of the 2020 Research in Adaptive and Convergent Systems, RACS 2020. Association for Computing Machinery, p. 226-233 8 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Radiolysis 100%
  • Electrons 60%
  • Graphics processing unit 55%
  • DNA 37%
  • Water 32%

• Ultra-high Throughput PET Coincidence Processor based on Scatter-Gather Hierarchy

  Cheng, X., Hu, K., Yang, D. & Shao, Y., 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020. Institute of Electrical and Electronics Engineers Inc., (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • central processing units 100%
  • hierarchies 98%
  • Field programmable gate arrays (FPGA) 81%
  • Memory 72%
  • Throughput 69%
  1 Scopus citations
• 2022

  A Stability Evaluation of Feature Ranking Algorithms on Breast Cancer Data Analysis

  Yu, S., Li, B., Liu, B., Jin, M., Wu, J. & Yu, H., Dec 13 2022, Proceedings of CECNet 2022 - 12th International Conference on Electronics, Communications and Networks, CECNet 2022. Tallon-Ballesteros, A. J. (ed.). IOS Press BV, p. 606-613 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 363).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Medical imaging 100%
  • Gene expression 96%
  1 Scopus citations

• Fully Utilizing Contrast Enhancement on Lung Tissue as a Novel Basis Material for Lung Nodule Characterization by Multi-energy CT

  Chang, S., Gao, Y., Pomeroy, M. J., Bai, T., Zhang, H. & Liang, Z., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 1230429. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Contrast Enhancement 100%
  • Nodule 93%
  • Computed Tomography 76%
  • nodules 71%
  • Lung 71%
  1 Scopus citations

• Gas bubble motion artifact reduction through simultaneous motion estimation and image reconstruction

  Wang, K., Shao, H. C., Zhang, Y., Park, C., Jiang, S. & Wang, J., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 123042D. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Motion Estimation 100%
  • Simultaneous Estimation 78%
  • Image Reconstruction 77%
  • Bubble 70%
  • Image Quality 64%

• Markov random field texture generation with an internalized database using a conditional encoder-decoder structure

  Gao, Y., Bai, T., Lu, S., Chang, S., Zhang, H., Hoshmand-Kochi, M. & Liang, Z., 2022, Medical Imaging 2022: Physics of Medical Imaging. Zhao, W. & Yu, L. (eds.). SPIE, 120311G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12031).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • decoders 100%
  • coders 91%
  • Crystalline Texture 71%
  • textures 61%
  • Computerized tomography 60%

• Photon Counting Detector-based Multi-energy Cone Beam CT Platform for Preclinical Small Animal Radiation Research

  Hu, X., Zhong, Y., Yang, K. & Jia, X., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 123042R. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Photon Counting 100%
  • Detector 66%
  • Photons 66%
  • Animals 60%
  • Radiation 59%

• Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

  Li, Y., Dan, R., Wang, S., Cao, Y., Luo, X., Tan, C., Jia, G., Zhou, H., Zhang, Y., Wang, Y. & Wang, L., 2022, Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 81-90 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13583 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Brain 100%
  • Life Span 90%
  • Refinement 79%
  • Imaging techniques 69%
  • Imaging 60%
  2 Scopus citations

• Real-time Liver Tumor Localization via a Single X-ray Projection Using Deep Graph Network-assisted Biomechanical Modeling

  Shao, H. C., Wang, J. & Zhang, Y., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 1230410. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Liver 100%
  • Real-time 83%
  • liver 81%
  • Tumor 78%
  • Tumors 75%

• S²MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement

  Zhang, C., Chang, S., Bai, T. & Chen, X., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 1230425. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Multispectral Images 100%
  • CT Image 99%
  • Image Enhancement 94%
  • Supervised Learning 82%
  • image enhancement 82%
  2 Scopus citations

• Stability Evaluation of Computational Intelligence-Based Subset Feature Selection Methods on Breast Cancer Data Analysis

  Yu, S., Liu, B., Li, B., Jin, M., Wu, J. & Yu, H., Dec 13 2022, Proceedings of CECNet 2022 - 12th International Conference on Electronics, Communications and Networks, CECNet 2022. Tallon-Ballesteros, A. J. (ed.). IOS Press BV, p. 587-594 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 363).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Artificial intelligence 100%
  • Feature extraction 87%
  • Set theory 73%

• Using Tissue-Energy Response to Generate Virtual Monoenergetic Images from Conventional CT for Computer-aided Diagnosis of Lesions

  Chang, S., Gao, Y., Pomeroy, M. J., Bai, T., Zhang, H. & Liang, Z., 2022, 7th International Conference on Image Formation in X-Ray Computed Tomography. Stayman, J. W. (ed.). SPIE, 123041L. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12304).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Computer-aided Diagnosis 100%
  • Computed Tomography 77%
  • Computer aided diagnosis 66%
  • lesions 58%
  • Tomography 52%
  1 Scopus citations
• 2023

  A General Web-Based Platform for Automatic Delineation of Head and Neck Gross Tumor Volumes in PET/CT Images

  Jiang, H., Haimerl, J., Gu, X. & Lu, W., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 47-53 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron Emission Tomography 100%
  • Web-based 98%
  • Computed Tomography 93%
  • Positron emission tomography 90%
  • Segmentation 78%
  1 Scopus citations

• Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement

  Wang, A., Bai, T., Nguyen, D. & Jiang, S., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-60 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Octree 100%
  • Transformer 81%
  • Segmentation 74%
  • Modality 72%
  • Tumor 65%
  1 Scopus citations

• Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

  Wang, K., Li, Y., Dohopolski, M., Peng, T., Lu, W., Zhang, Y. & Wang, J., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 144-153 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Segmentation 100%
  • Gross 93%
  • Tumor 88%
  • Cancer 85%
  • Tumors 84%
  1 Scopus citations