Junyu Chen

Research output

Research output per year 2017 2022 2024 2025

• 12 Conference contribution
• 9 Article
• 2 Review article

Research output per year

Research output per year

Search results

• 2025

  A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

  Chen, J., Liu, Y., Wei, S., Bian, Z., Subramanian, S., Carass, A., Prince, J. L. & Du, Y., Feb 2025, In: Medical image analysis. 100, 103385.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Medical Image 100%
  • Metrics 100%
  • Deep Learning Method 100%
  • Regularization Networks 20%
  • Similarities 12%
• 2024

  Deformable Cross-Attention Transformer for Medical Image Registration

  Chen, J., Liu, Y., He, Y. & Du, Y., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 115-125 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14348 LNCS).

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

  • Computational Complexity 100%
  • Attention (Machine Learning) 100%
  • Cross-attention 100%
  • Search Window 66%
  • Source Codes 50%

• From Registration Uncertainty to Segmentation Uncertainty

  Chen, J., Liu, Y., Wei, S., Bian, Z., Carass, A. & Du, Y., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).

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

  Open Access

  • Deep Neural Network 100%
  • Registration Process 100%
  • Negative Log Likelihood 100%
  • Deep Learning Method 100%
  • Registration Model 100%

• Girth-based administered activity for pediatric ^99mTc-DMSA SPECT

  Li, Y., Brown, J. L., Xu, J., Chen, J., Ghaly, M., Dugan, M., Cao, X., Du, Y., Fahey, F. H., Bolch, W., Sgouros, G. & Frey, E., Feb 2024, In: Medical physics. 51, 2, p. 1019-1033 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Image Quality 100%
  • Pediatrics 100%
  • Technetium-99 100%
  • Single-Photon Emission Computed Tomography 100%
  • Succimer 100%

• Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

  Bian, Z., Alshareef, A., Wei, S., Chen, J., Wang, Y., Woo, J., Pham, D., Zhuo, J., Carass, A. & Prince, J. L., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 129260A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).

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

  Open Access

  • Marking 100%
  • Harmonics 100%
  • Radio Frequency 100%
  • Magnetic Resonance Imaging 100%
  • Radiofrequency Pulse 50%

• On Finite Difference Jacobian Computation in Deformable Image Registration

  Liu, Y., Chen, J., Wei, S., Carass, A. & Prince, J., Sep 2024, In: International Journal of Computer Vision. 132, 9, p. 3678-3688 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Jacobian Computation 100%
  • Geometric Meaning 50%
  • 3D Transformation 25%
  • 2D Transformation 25%

• Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising

  Jang, S. I., Pan, T., Li, Y., Heidari, P., Chen, J., Li, Q. & Gong, K., Jun 1 2024, In: IEEE transactions on medical imaging. 43, 6, p. 2036-2049 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • image denoising 100%
  • Convolutional Neural Network 100%
  • Channel-wise 100%
  • Global Self-attention 100%
  • Self-Attention 100%

• SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images

  Li, G. Y., Chen, J., Jang, S. I., Gong, K. & Li, Q., Mar 2024, In: Medical physics. 51, 3, p. 2096-2107 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Tasks 100%
  • Radiotherapy 100%
  • Positron Emission Tomography 100%
  • Positron Emission Tomography-Computed Tomography 100%
  • Cetuximab 100%

• Vector field attention for deformable image registration

  Liu, Y., Chen, J., Zuo, L., Carass, A. & Prince, J. L., Nov 1 2024, In: Journal of Medical Imaging. 11, 6, 064001.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Feature Map 100%
  • Fully Connected Layer 25%
  • Learn2Reg 14%
  • Multi-resolution Features 14%
• 2023

  MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

  Bian, Z., Wei, S., Liu, Y., Chen, J., Zhuo, J., Xing, F., Woo, J., Carass, A. & Prince, J. L., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Proceedings. Woo, J., Hering, A., Silva, W., Li, X., Fu, H., Liu, X., Xing, F., Purushotham, S., Mathai, T. S., Mukherjee, P., De Grauw, M., Beets Tan, R., Corbetta, V., Kotter, E., Reyes, M., Baumgartner, C. F., Li, Q., Leahy, R., Dong, B., Chen, H., Huo, Y., Lv, J., Xu, X., Li, X., Mahapatra, D., Cheng, L., Petitjean, C. & Presles, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 24-34 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14394 LNCS).

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

  • Motion Estimation 100%
  • Temporal Registration 100%
  • Vector Space 100%
  • Lie Groups 100%
  • Spatial-temporal Registration 100%

• Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

  Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A. & Zhou, S. K., Apr 2023, In: Medical image analysis. 85, 102762.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Prevalence 100%
  • Reconstruction Enhancement 16%
  • Segmentation-recognition 16%
• 2022

  A Noise-Level-Aware Framework for PET Image Denoising

  Li, Y., Cui, J., Chen, J., Zeng, G., Wollenweber, S., Jansen, F., Jang, S. I., Kim, K., Gong, K. & Li, Q., 2022, Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Haq, N., Johnson, P., Maier, A., Qin, C., Würfl, T. & Yoo, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-83 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13587 LNCS).

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

  • Signal-dependent Noise 100%
  • Backbone Network 50%
  • Denoising Framework 50%

• Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation

  Li, Y., Chen, J., Jang, S. I., Gong, K. & Li, Q., 2022, 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference).

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

  Open Access

  • Neck Tumor 100%
  • Network Architecture 100%
  • Tumor Segmentation 100%
  • Transformer Network 100%
  • De Facto Standard 50%

• TransMorph: Transformer for unsupervised medical image registration

  Chen, J., Frey, E., He, Y., Segars, W. P., Li, Y. & Du, Y., Nov 2022, In: Medical image analysis. 82, 102615.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Medical Image 100%
  • Convolutional Neural Network 60%
  • Registration Uncertainty 33%
  • Hybrid Transformer 33%
  • Vision Transformers Architecture 33%

• Unsupervised Learning of Diffeomorphic Image Registration via TransMorph

  Chen, J., Frey, E. C. & Du, Y., 2022, Biomedical Image Registration - 10th International Workshop, WBIR 2022, Proceedings. Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M. & Rueckert, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 96-102 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13386 LNCS).

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

  • Performance Gain 100%
  • Unsupervised Learning 100%
  • Source Codes 100%
  • Image Registration 100%
  • Time-averaged Velocity 50%
• 2021

  DeepAMO: A multi-slice, multi-view anthropomorphic model observer for visual detection tasks performed on volume images

  Li, Y., Chen, J., Brown, J. L., Treves, S. T., Cao, X., Fahey, F. H., Sgouros, G., Bolch, W. E. & Frey, E. C., Jul 1 2021, In: Journal of Medical Imaging. 8, 4, 041204.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Decision Process 100%
  • Rating Value 18%
  • Human Reading Process 9%
  • 3D Defect Detection 9%
  • Defect Segmentation 9%

• Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks

  Chen, J., Li, Y., Luna, L. P., Chung, H. W., Rowe, S. P., Du, Y., Solnes, L. B. & Frey, E. C., Jul 2021, In: Medical physics. 48, 7, p. 3860-3877 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Photon Emission 100%
  • Fuzzy Clustering 100%
  • Convolutional Neural Network 100%
  • Loss Function 100%
  • Neural Network 100%

• Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-Tuning and Online-Learning

  Chen, J., Asma, E. & Chan, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 25-35 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12903 LNCS).

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

  • Convolutional Neural Network 100%
  • Online Learning 100%
  • Gradient Descent 100%
  • Neural Network 100%
  • image denoising 20%
• 2020

  Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks

  Chen, J., Li, Y., Du, Y. & Frey, E. C., Dec 2020, In: Medical physics. 47, 12, p. 6366-6380 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Unsupervised Registration 100%
  • Tradeoff Analysis 66%
  • Loss Regularization 33%
  • VoxelMorph 33%
  2 Scopus citations
• 2019

  Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation

  Chen, J., Jha, A. K. & Frey, E., 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 109491W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949).

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

  • Similarities 100%
  • Image Segmentation 100%
  • Mean Algorithm 100%
  • Robust Fuzzy C-means 100%
  • Segmentation Method 50%
  1 Scopus citations
• 2018

  Emotion recognition with facial expressions and physiological signals

  Zhong, B., Qin, Z., Yang, S., Chen, J., Mudrick, N., Taub, M., Azevedo, R. & Lobaton, E., Feb 2 2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings; vol. 2018-January).

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

  • Multimodal Emotion Recognition 100%
  • Multi-Modal Emotion Recognition 100%
• 2017

  A visual saliency-based method for automatic lung regions extraction in chest radiographs

  Li, X., Chen, L. & Chen, J., Oct 20 2017, 2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017. Institute of Electrical and Electronics Engineers Inc., p. 162-165 4 p. (2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017; vol. 2018-February).

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

  • Lung Extraction 100%
  • Image Well 25%
  • Global Contrast 25%

• Multi-scale cascade network for salient object detection

  Li, X., Yang, F., Cheng, H., Chen, J., Guo, Y. & Chen, L., Oct 23 2017, MM 2017 - Proceedings of the 2017 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 439-447 9 p. (MM 2017 - Proceedings of the 2017 ACM Multimedia Conference).

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

  • Multiscale Cascade 100%
  • Cascaded Network 100%
  • Salient Object Detection 100%
  • Saliency Detection 50%
  • Refinement Module 25%