Skip to main content
Pingkun Yan on Google Scholar Pingkun Yan on ResearchGate Pingkun Yan on LinkedIn

Journal Articles

2024

  1. X. Li, L. Zhao, L. Zhang, Z. Wu, Z. Liu, H. Jiang, C. Cao, S. Xu, Y. Li, H. Dai, Y. Yuan, J. Liu, G. Li, D. Zhu, P. Yan, Q. Li, W. Liu, T. Liu, D. Shen (2024). "Artificial General Intelligence for Medical Imaging Analysis," IEEE Reviews in Biomedical Engineering, in press (2024) [Publication, Abstract]
  2. J. Zhang, G. Wang, M.K. Kalra, P. Yan (2024). "Disease-informed Adaptation of Vision-Language Models," IEEE Trans. Medical Imaging, in press (2024) [Publication, Abstract]
  3. X. Song, J. Zhang, P. Yan, J. Hahn, U. Kruger, H. Mohamed, G. Wang (2024). "Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT," Meta-Radiology, Article No. 100113, October (2024) [Publication, Abstract]
  4. M. Li, M. Wu, J. Pack, P. Wu, P. Yan, B. De Man, A. Wang, K. Nieman, G. Wang (2024). "Coronary Atherosclerotic Plaque Characterization with Photon-counting CT: a Simulation-based Feasibility Study," Medical Physics, pp. 1-17 (2024) [Publication, Abstract]
  5. Y. Liang, H. Chao, J. Zhang, G. Wang, P. Yan (2024). "Unbiasing Fairness Evaluation of Radiology AI Model," Meta-Radiology, Article No. 100084, June (2024) [Publication, Abstract]
  6. J. Lee, D. Kim, X. Xu, T. Kuang, J. Gateno, P. Yan (2024). "Predicting Optimal Patient-Specific Postoperative Facial Landmarks for Patients with Craniomaxillofacial Deformities," International Journal of Oral and Maxillofacial Surgery, in press, May (2024) [Publication, Abstract]
  7. D. Machado Reyes, H. Chao, J. Hahn, L. Shen, P. Yan (2024). "Identifying Progression-Specific Alzheimer’s Subtypes Using Multimodal Transformer," Journal of Personalized Medicine, 14(4), 421 (2024) [Publication, Abstract]
  8. X. Fang, H.H. Deng, T. Kuang, X. Xu, J. Lee, J. Gateno, P. Yan (2024). "Patient-specific reference model estimation for orthognathic surgical planning," International Journal of Computer Assisted Radiology and Surgery, June 13 (2024) [Publication, Abstract]
  9. J.R. Chuah, P. Yan, G. Wang, J. Hahn (2024). "Towards the Generation of Medical Imaging Classifiers Robust to Common Perturbations," BioMedInformatics, vol. 4, no. 2, pp. 889-910 (2024) [Publication, Abstract]
  10. Y. Liang, C. Niu, P. Yan, G. Wang (2024). "Flipover outperforms dropout in deep learning," Visual Computing for Industry, Biomedicine, and Art 7, Article number: 4 (2024) [Publication, Abstract]
  11. X. Fang, D. Kim, X. Xu, T. Kuang, N. Lampen, J. Lee, H.H. Deng, M.A.K. Liebschner, J.J. Xia, J. Gateno, P. Yan (2024). "Correspondence attention for facial appearance simulation," Medical Image Analysis, vol. 93, article no. 103094, April 2024. [Publication, Abstract]
  12. X. Xu, H.H. Deng, T. Kuang, D. Kim, P. Yan, J. Gateno (2024). "Machine Learning Effectively Diagnoses Mandibular Deformity Using Three-Dimensional Landmarks," Journal of Oral and Maxillofacial Surgery, vol. 82, no. 2, pp. 182-190, Feb. 2024. [Publication, Abstract]
  13. J. Zhang, H. Chao, G. Dasegowda, G. Wang, M.K. Kalra, P. Yan (2024). "Revisiting Trustworthiness of Saliency Methods in Radiology AI," Radiology: Artificial Intelligence, vol. 6, no. 1 (2024) [Publication, Abstract]

2023

  1. P. Yan, G. Wang, H. Chao, M.K. Kalra (2023). "Multimodal Radiology AI," Meta-Radiology, vol. 1, No. 2, 100019, September (2023) [Publication, Abstract]
  2. X. Fang, X. Xu, J.J. Xia, T. Sanford, B. Turkbey, S. Xu, B.J. Wood, P. Yan (2023). "Shape Description Losses for Medical Image Segmentation," Machine Vision and Applications, Vol. 34, Article number: 57 (2023) [Publication, Abstract]
  3. X. Xu, H.H. Deng, J. Gateno, P. Yan (2023). "Federated Multi-organ Segmentation with Inconsistent Labels," IEEE Trans. Medical Imaging 42, No. 10, pp. 2948-2960, October (2023) [Publication, Abstract]
  4. J. Zhang, H. Chao, P. Yan (2023). "Towards Adversarial Robustness in Unlabeled Target Domains," IEEE Trans. Image Processing, Vol. 32, pp. 1272-1284, (2023) [Publication, Abstract]
  5. H. Guo, X. Xu, X. Song, S. Xu, H. Chao, J. Myers, B. Turkbey, P.A. Pinto, B.J. Wood, P. Yan (2023). "Ultrasound Frame-to-Volume Registration via Deep Learning for Interventional Guidance," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 70, No. 9, pp. 1016-1025 (2023) [Publication, Abstract]
  6. H.H. Deng, Q. Liu, A. Chen, T. Kuang, P. Yuan, J. Gateno, D. Kim, J.C. Barber, K.G. Xiong, P. Yu, K.J. Gu, X. Xu, P. Yan, D. Shen, J.J. Xia (2023). "Clinical Feasibility of Deep Learning-Based Automatic Whole Head CBCT Image Segmentation and Landmark Digitization in Computer-Aided Surgical Simulation for Orthognathic Surgery," International Journal of Oral & Maxillofacial Surgery, Vol. 52, No. 7, pp. 793-800 (2023) [Publication, Abstract]
  7. H. Guo, H. Chao, S. Xu, B.J. Wood, J. Wang, P. Yan (2023). "Ultrasound Volume Reconstruction from Freehand Scans without Tracking," IEEE Trans. Biomedical Engineering, Vol. 70, No. 3, pp. 970-979 (2023) [Publication, Abstract]
  8. N. Lampen, H. Su, D. Chan, and P. Yan (2023). "Finite Element Modeling with Subject-specific Mechanical Properties to Assess Knee Osteoarthritis Initiation and Progression," Journal of Orthopaedic Research, vol. 41, no.1, pp. 72-83 (2023) [Publication, Abstract]

2022

  1. G. Wang, A. Badal, X. Jia, J. Maltz, K. Mueller, K. Myers, C. Niu, M. Vannier, P. Yan, Z. Yu, R. Zeng (2022). "Development of Metaverse for Intelligent Healthcare," Development of metaverse for intelligent healthcare. Nature Machine Intelligence, 4, pages 922–929 (2022). [Publication, Abstract]
  2. X. Song, H. Guo, X. Xu, H. Chao, S. Xu, B. Turkbey, B.J. Wood, G. Wang, P. Yan (2022). "Cross-modal Attention for MRI and Ultrasound Volume Registration," Medical Image Analysis (MEDIA) 82, 102612, November, 2022. [Publication, Abstract]
  3. J. Chuah, U. Kruger, G. Wang, P. Yan, J. Hahn (2022). "Framework for Testing Robustness of Machine Learning-Based Classifiers," Journal of Personalized Medicine, vol. 12, No. 8, 1314 (2022) [Publication, Abstract]
  4. Y. Gao, H. Chao, L. Cavuoto, P. Yan, U. Kruger, J. Norfleet, B. Makled, S. Schwaitzberg, S. De, X. Intes (2022). "Deep Learning-based Motion Artifact Removal in Functional Near-Infrared Spectroscopy (fNIRS)," Neurophotonics 9(4), 041406 (2022) [Publication, Abstract]
  5. W. Wu, D. Hu, W. Cong, H. Shan, S. Wang, C. Niu, P. Yan, H. Yu, V. Vardhanabhuti, G. Wang (2022). "Stabilizing Deep Tomographic Reconstruction-- Part A: Hybrid Framework and Experimental Results," Patterns 3, 100474, May 13, 2022 [Publication, Abstract]
  6. W. Wu, D. Hu, W. Cong, H. Shan, S. Wang, C. Niu, P. Yan, H. Yu, V. Vardhanabhuti, G. Wang (2022). "Stabilizing Deep Tomographic Reconstruction-- Part B: Convergence Analysis and Adversarial Attacks," Patterns 3, 100475, May 13, 2022 [Publication, Abstract]
  7. N. Lampen, D. Kim, X. Fang, X. Xu, T. Kuang, H. Deng, J.C. Barber, J. Gateno, J.J. Xia, P. Yan (2022). "Deep Learning for Biomechanical Modeling of Facial Tissue Deformation in Orthognathic Surgical Planning," International Journal of Computer Assisted Radiology and Surgery, vol. 17, pp. 945–952 (2022) [Publication, Abstract]
  8. X. Xu, T. Sanford, B. Turkbey, S. Xu, B.J. Wood, P. Yan (2022). "Polar transform network for prostate ultrasound segmentation with uncertainty estimation," Medical Image Analysis (MEDIA) 78, 102418, May (2022) [Publication, Abstract]
  9. X. Xu, T. Sanford, B. Turkbey, S. Xu, B.J. Wood, P. Yan (2022). "Shadow-consistent Semi-supervised Learning for Prostate Ultrasound Segmentation," IEEE Trans. Medical Imaging, vol. 41, no. 6, pp. 1331-1345, June 2022. [Publication, Abstract]
  10. F. Fan, D. Wang, H. Guo, Q. Zhu, P. Yan, G. Wang, H. Yu (2022). "On a Sparse Shortcut Topology of Artificial Neural Networks," IEEE Transactions on Artificial Intelligence, pp. 595-608, vol. 3, August (2022) [Publication, Abstract]
  11. Q. Zhu, Y. Wang, B. Du, P. Yan (2022). "OASIS: One-pass aligned Atlas Set for Medical Image Segmentation," Neurocomputing 470, pp. 130-138, Jan. (2022)   [Publication, Abstract]

2021

  1. H. Chao, H. Shan, F. Homayounieh, R. Singh, R.D. Khera, H. Guo, T. Su, G. Wang, M.K. Kalra, P. Yan (2021). "Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography," Nature Communications 12, 2963 (2021) [Publication, Abstract]
  2. Y. Gao, L. Cavuoto, A. Dutta, U. Kruger, P. Yan, A. Nemani, J. Norfleet, B.A. Makled, J. Silvestri, S. Schwaitzberg, X. Intes, S. De (2021). "Decreasing the Surgical Errors by Neurostimulation of Primary Motor Cortex and the Associated Brain Activation via Neuroimaging," Frontiers in Neuroscience 15, pp. 265 (2021) [Publication, Abstract]
  3. X. Fang, U. Kruger, F. Homayounieh, H. Chao, J. Zhang, S.R. Digumarthy, C.D. Arru, M.K. Kalra, P. Yan (2021). "Association of AI Quantified COVID-19 Chest CT and Patient Outcome," International Journal of Computer Assisted Radiology and Surgery, 16, 435–445 (2021). [Publication, Abstract]
  4. F. Homayounieh, P. Yan, S.R. Digumarthy, U. Kruger, G. Wang, M.K. Kalra (2021). "Prediction of coronary calcification and stenosis: Role of radiomics from Low-Dose CT," Academic Radiology, vol. 8, no. 7, pp. 972-979, July 2021. [Publication, Abstract]
  5. H. Chao, X. Fang, J. Zhang, F. Homayounieh, C.D. Arru, S.R. Digumarthy, R. Babaei, H.K. Mobin, I. Mohseni, L. Saba, A. Carriero, Z. Falaschi, A. Pasche, G. Wang, M.K. Kalra, P. Yan (2021). "Integrative Analysis for COVID-19 Patient Outcome Prediction," Medical Image Analysis (MEDIA), vol. 67, pp. 101844, January (2021) [Publication, Abstract]
  6. B. Du, J. Liao, B. Turkbey, P. Yan (2021). "Multi-task Learning for Registering Images with Large Deformation," IEEE Journal of Biomedical and Health Informatics, Vol. 25, No. 5, pp. 1624-1633, May 2021.   [Publication, Abstract]
  7. Y. Gao, P. Yan, U. Kruger, L. Cavuoto, S. Schwaitzberg, S. De, X. Intes (2021). "Functional brain imaging reliably predicts bimanual motor skill performance in a standardized surgical task," IEEE Trans. Biomedical Engineering, Vol. 68, No. 7, pp. 2058-2066, July 2021. [Publication, Abstract]

2020

  1. H. Guo, M. Kruger, S. Xu, B.J. Wood, P. Yan (2020). "Deep Adaptive Registration of Multi-modal Prostate Images," Computerized Medical Imaging and Graphics, Vol. 84, 101769 (2020)   [Publication, Abstract]
  2. M. Ochoa, A. Rudkouskaya, R. Yao, P. Yan, M. Barroso, X. Intes (2020). "High Compression Deep Learning based Single-Pixel Hyperspectral Macroscopic Fluorescence Lifetime Imaging In Vivo," Biomedical Optics Express, Vol. 11, Issue 10, pp. 5401-5424 (2020) [Publication, Abstract]
  3. X. Fang and P. Yan (2020). "Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction," IEEE Transactions on Medical Imaging, Vol. 39, No. 11, pp. 3619-3629 (2020) [Publication, Abstract]
  4. T. Sanford, S.A. Harmon, E.B. Turkbey, D. Kesani, S. Tuncer, M. Madariaga, C. Yang, J. Sackett, S. Mehralivand, P. Yan, S. Xu, B.J. Wood, M.J. Merino, P.A. Pinto, P. Choyke, B. Turkbey (2020). "Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study," Journal of Magnetic Resonance Imaging, Vol. 52, No. 5, pp. 1499-1507 (2020) [Publication, Abstract]
  5. H. Shan, X. Jia, P. Yan, Y. Li, H. Paganetti, G. Wang (2020). "Synergizing Medical Imaging and Radiotherapy with Deep Learning," Machine Learning: Science and Technology, vol. 1, no. 2, pp. 021001, June 2020. [Publication, Abstract]
  6. X. Fang, S. Xu, B.J. Wood, P. Yan (2020). "Deep Learning based Liver Segmentation for Fusion Guided Intervention," International Journal of Computer Assisted Radiology and Surgery, vol. 15, no. 6, pp. 963-972, June 2020. [Publication, Abstract]
  7. Z. Peng, X. Fang, P. Yan, H. Shan, T. Liu, X. Pei, G. Wang, B. Liu, M.K. Kalra, X.G. Xu (2020). "A Method of Rapid Quantification of Patient-Specific Organ Doses for CT Using Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing," Medical Physics, vol. 47, no. 6, pp. 2526-2536, June 2020. [Publication, Abstract]
  8. G. Haskins, U. Kruger, P. Yan (2020). "Deep Learning in Medical Image Registration: A Survey," Machine Vision and Applications, vol. 31, no. 1, Article 8, Jan. 2020. [Publication, Abstract]
  9. H. Guo, U. Kruger, G. Wang, M.K. Kalra, P. Yan (2020). "Knowledge-based Analysis for Mortality Prediction from CT Images," IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 2, pp. 457-464, Feb. 2020. [Publication, Abstract]
  10. Q. Zhu, B. Du, P. Yan (2020). "Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation," IEEE Transactions on Medical Imaging, vol. 39, no. 3, pp. 753-763, March 2020.   [Publication, Abstract]

2019

  1. J.T. Smith, R. Yao, N. Sinsuebphon, A. Rudkouskaya, N. Un, J. Mazurkiewicz, M. Barroso, P. Yan and X. Intes (2019). "Fast fit-free analysis of fluorescence lifetime imaging via deep learning," PNAS, November 26, 2019, vol. 116, no. 48, pp. 24019-24030. [Publication, Abstract]
  2. A. Sedghi, M. Pesteie, G. Javadi, S. azizi, P. Yan, J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P. Pinto, B. Wood, R. Rohling, P. Abolmaesumi, P. Mousavi (2019). "Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies," International Journal of Computer Assisted Radiology and Surgery, vol. 14, no. 6, pp. 1009–1016, June 2019. [Publication, Abstract]
  3. R. Yao, M. O. Mendoza, P. Yan, X. Intes (2019). "Net-FLICS: Fast Quantitative Wide-field Fluorescence Lifetime Imaging with Compressed Sensing – A deep learning approach," Light: Science & Applications, 8, Article number: 26 (2019). [Publication, Abstract]
  4. G. Haskins, J. Kruecker, U. Kruger, S. Xu, P. A. Pinto, B. J. Wood, P. Yan (2019). "Learning deep similarity metric for 3D MR–TRUS image registration," International Journal of Computer Assisted Radiology and Surgery, vol. 14, no. 3, pp. 417–425, March 2019. [Publication, Abstract]
  5. J. Shi, Z. Li, S. Ying, C. Wang, Q. Liu, Q. Zhang, P. Yan (2019). "MR Image Super-Resolution Via Wide Residual Networks With Fixed Skip Connection," IEEE Journal of Biomedical and Health Informatics, Vol. 23, no. 3, pp. 1129-1140, May 2019. [Publication, Abstract]

2018

  1. S. Azizi, S. Bayat, P. Yan, A. Tahmasebi, J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P. Pinto, B. Wood, P. Mousavi, P. Abolmaesumi (2018). "Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound," IEEE Transactions on Medical Imaging, vol. 37, no. 12, pp. 2695-2703, Dec. 2018. [Publication, Abstract]
  2. Q. Yang, P. Yan, Y. Zhang, H. Yu, Y. Shi, X. Mou, M. K. Kalra, Y. Zhang, L. Sun, G. Wang (2018). "Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss," IEEE Transactions on Medical Imaging, vol. 37, no. 6, pp. 1348-1357, June 2018. [Publication, Abstract]
  3. S. Azizi, N. Van Woudenberg, S. Sojoudi, M. Li, S. Xu, E. M. Abu Anas, P. Yan, A. Tahmasebi, J.T. Kwak, B. Turkbey, P. Choyke, P. Pinto, B. Wood, P. Mousavi, P. Abolmaesumi (2018). "Towards a real-time system for temporal enhanced ultrasound-guided prostate biopsy," International Journal of Computer Assisted Radiology and Surgery, vol. 13, no. 8, pp. 1201-1209 (2018) [Publication, Abstract]
  4. Q. Zhu , B. Du , B. Turkbey, P. Choyke, P. Yan (2018). "Exploiting Inter-Slice Correlation for MRI Prostate Image Segmentation from Recursive Neural Networks Aspect," Complexity, vol. 2018, Article ID 4185279, 10 pages, 2018. [Publication, Abstract]
  5. X. Cao, X. Jiang, X. Li, P. Yan (2018). "Correlation-based Tracking of Multiple Targets with Hierarchical Layered Structure," IEEE Trans. Cybernetics, vol. 48, no. 1, pp. 90–102, Jan. 2018. [Publication, Abstract]
  6. Q. Zhu , B. Du, P. Yan, H. Lu, L. Zhang (2018). "Shape Prior Constrained PSO Model for Bladder Wall MRI Segmentation," Neurocomputing, vol. 294, pp. 19-28, June 2018. [Publication, Abstract]
  7. S. Bayat, S. Azizi, M. Daoud, G. Nir, F. Imani, C. Gerardo, P. Yan, A. Tahmasebi, F. Vignon, K. Iczkowsk, M. Lucia, L. Goldenberg, T. Salcudean, P. Abolmaesumi, P. Mousavi (2018). "Investigation of Physical Phenomena Underlying Temporal Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations," IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 3, pp. 400-410, Mar. 2018 [Publication, Abstract]

2017

  1. B. Calio, A. Sidana, D. Sugano, S. Gaur, A. Jain, M. Maruf, S. Xu, P. Yan, J. Kruecker, M. Merino, P. Choyke, B. Turkbey, B. Wood, P. Pinto (2017). "Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve," Prostate Cancer and Prostatic Diseases 20, pages 436–441 (2017) [Publication, Abstract]
  2. S. Azizi, S. Bayat, P. Yan, A. Tahmasebi, G. Nir, J.T. Kwak, S. Xu, S. Wilson, K.A. Iczkowski, M.S. Lucia, L. Goldenberg, S.E. Salcudean, P.A. Pinto, B. Wood, P. Abolmaesumi, P. Mousavi (2017). "Detection and Grading of Prostate Cancer Using Temporal Enhanced Ultrasound: Combining Deep Neural Networks and Tissue Mimicking Simulations," International Journal of Computer Assisted Radiology and Surgery, vol. 12, no. 8, pp. 1293-1305, Aug. 2017. (IJCARS-MICCAI 2016 Best Paper Award) [Publication, Abstract]
  3. S. Azizi, P. Mousavi, P. Yan, A. Thamasebi, J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P. Pinto, B.Wood, P. Abolmaesumi (2017). "Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection," International Journal of Computer Assisted Radiology and Surgery, vol. 12, no. 7, pp. 1111–1121, Jul. 2017. [Publication, Abstract]

2015

  1. B. Muller, A. Kaushal, S. Sankineni, E. Lita, A. Hoang, A. George, S. Rais-Bahrami, J. Kruecker, P. Yan, S. Xu, J. de la Rosette, M. Merino, B. Wood, P. Pinto, P. Choyke, B. Turkbey (2015). "Multiparametric Magnetic Resonance Imaging-Transrectal Ultrasound Fusion-Assisted Biopsy for the Diagnosis of Local Recurrence after Radical Prostatectomy," Urologic Oncology: Seminars and Original Investigations, vol. 33, no. 10, pp. 425.e1–425.e6, Oct. 2015. [Abstract]
  2. X. Qin, H. Lu, Y. Tian, P. Yan (2015). "Partial Sparse Shape Constrained Sector-driven BladderWall Segmentation," Machine Vision and Applications, vol. 26, no. 5, pp. 593–606, Jul. 2015. [Abstract]
  3. P. Yan, Y. Cao, Y. Yuan, B. Turkbey, P. Choyke (2015). "Label image constrained multiatlas selection," IEEE Transactions on Cybernetics, vol. 45, no. 6, pp. 1158–1168, June 2015. [Abstract]
  4. Kwak JT, Hong CW, Pinto PA, Williams M, Xu S, Kruecker J, Yan P, Turkbey B, Choyke PL, Wood BJ (2015). "Is visual registration equivalent to semiautomated registration in prostate biopsy?," Biomed Res Int., vol. 2015, pp. 394742, 2015. [Abstract]
  5. D. Raskolnikov, S. Rais-Bahrami, A.K. George, B. Turkbey, N.A. Shakir, C. Okoro, J.T. Rothwax, A.Walton-Diaz, M.M. Siddiqui, D. Su, L. Stamatakis, P. Yan, J. Kruecker, S. Xu, M.J. Merino, P.L. Choyke, B.J. Wood, P.A. Pinto (2015). "The Role of Image-Guided Targeted Re-Biopsy in Patients with Atypical Small Acinar Proliferation," Journal of Urology, vol. 193, no. 2, pp. 473–478, Feb. 2015. [Abstract]
  6. X. Qin, Y. Tian, P. Yan (2015). "Feature Competition and Partial Sparse Shape Modeling for Cardiac Image Sequences Segmentation," Neurocomputing, vol. 149, Part B, pp. 904–913, Feb. 2015. [Abstract]

2014

  1. X. Qin, X. Li, Y. Liu, H. Lu, P. Yan (2014). "Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation," IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 5, pp. 1707–1716, Sept. 2014. [Abstract]
  2. C.W. Hong, H. Amalou, S. Xu, B. Turkbey, P. Yan, J. Kruecker, P.A. Pinto, P.L. Choyke, B.J. Wood (2014). "Prostate Biopsy for the Interventional Radiologist," Journal of Vascular and Interventional Radiology, vol. 25, no. 5, pp. 675–684, May 2014. [Abstract]
  3. J. Zhang, Q. Xu, X. Cao, P. Yan, X. Li (2014). "Hierarchical Incorporation of Shape and Shape Dynamics for Flying Bird Detection," Neurocomputing, vol. 131, pp. 179–190, 2014. [Abstract]

2013

  1. X. Cao, Z. Shi, P. Yan, X. Li (2013). "Tracking vehicles as groups in airborne videos," Neurocomputing, vol. 99, pp. 38–45, 2013. [Abstract]
  2. X. Cao, Z. Wang, P. Yan, X. Li (2013). "Transfer Learning for Pedestrian Detection," Neurocomputing, vol. 100, pp. 51–57, 2013. [Abstract]
  3. X. Lu, Y. Yuan, P. Yan (2013). "Robust visual tracking with discriminative sparse learning," Pattern Recognition, vol. 46, no. 7, pp. 1762–1771, 2013. [Abstract]
  4. Q. Wang, P. Yan, Y. Yuan, and X. Li (2013). "Multi-spectral Saliency Detection," Pattern Recognition Letters, vol. 34, no. 1, pp. 34–41, 2013. [Abstract]
  5. Q. Wang, Y. Yuan, P. Yan (2013). "Visual Saliency by Selective Contrast," IEEE Trans. Circuits and Systems for Video Technology, vol. 23, no. 7, pp. 1150–1155, 2013. [Abstract]
  6. X. Cao, L. Wang, B. Ning, Y. Yuan, P. Yan (2013). "Pedestrian Detection in Unseen Scenes by Dynamically Updating Visual Words," Neurocomputing, vol. 119, pp. 232–242, Nov. 2013. [Abstract]
  7. P. Yan, W. Zhang, B. Turkbey, P. L. Choyke, X. Li (2013). "Global Structure Constrained Local Shape Prior Estimation for Medical Image Segmentation," Computer Vision and Image Understanding, vol. 117, no. 9, pp. 1017–1026, 2013. [Abstract]
  8. M. Yang, X. Li, B. Turkbey, P. L. Choyke, P. Yan (2013). "Prostate Segmentation in MR Images Using Discriminant Boundary Features," IEEE Trans. Biomedical Engineering, vol. 60, no. 2, pp. 479–488, 2013. [Abstract]
  9. Q. Wang, C. Zou, Y. Yuan, H. Lu, P. Yan (2013). "Image registration by normalized mapping," Neurocomputing, vol. 101, pp. 181–189, 2013. [Abstract]
  10. X. Lu, Y. Yuan, P. Yan (2013). "Alternatively Constrained Dictionary Learning for Image Super-resolution," IEEE Trans. Cybernetics, accepted, 2013. [Abstract]
  11. X. Lu, Y. Yuan, P. Yan (2013). "Image Super-resolution via Double Sparsity Regularized Manifold Learning," IEEE Trans. Circuits and Systems for Video Technology, accepted, 2013. [Abstract]
  12. G. Zhu, Q.Wang, Y. Yuan, P. Yan, and X. Li (2013). "Learning Saliency by MRF and Differential Threshold," IEEE Trans. Cybernetics, accepted, 2013. [Abstract]
  13. G. Zhu, Q. Wang, Y. Yuan, P. Yan (2013). "SIFT on manifold: An intrinsic description," Neurocomputing, vol. 113, pp. 227–233, 2013. [Abstract]
  14. X. Lu, H. Wu, Y. Yuan, P. Yan, and X. Li (2013). "Manifold Regularized Sparse NMF for Hyperspectral Unmixing," IEEE Trans. Geoscience and Remote Sensing, vol. 51, no. 5, pp. 2815–2826, May 2013. [Abstract]
  15. X. Lu, H. Yuan, Y. Yuan, P. Yan, and X. Li (2013). "Sparse Coding for Image Denoising using Spike and Slab Prior," Neurocomputing, vol. 106, pp. 12–20, Apr. 2013. [Abstract]
  16. Q.Wang, Y. Yuan, P. Yan, and X. Li (2013). "Saliency Detection by Multiple Instance Learning," IEEE Trans. Cybernetics, vol. 43, no. 2, pp. 660–672, Apr. 2013. [Abstract]
  17. Y. Tang, Y. Yuan, P. Yan, X. Li (2013). "Greedy Regression in Sparse Coding Space for Single-Image Super-Resolution," Journal of Visual Communication and Image Representation, vol. 24, no. 2, pp. 148–159, 2013. [Abstract]

2012

  1. X. Cao, J. Lan, P. Yan, X. Li (2012). "Vehicle Detection and Tracking in Airborne Videos by Multi-motion Layer Analysis," Machine Vision and Applications, vol. 23, pp. 921–935, 2012. [Abstract]
  2. X. Cao, B. Ning, P. Yan, X. Li (2012). "Selecting Key Poses on Manifold for Pairwise Action Recognition," IEEE Trans. Industrial Informatics, vol. 8, no. 1, pp. 168–177, February 2012. [Abstract]
  3. X. Cao, R. Lin, P. Yan, X. Li (2012). "Visual Attention Accelerated Vehicle Detection in Lowaltitude Airborne Video of Urban Environment," IEEE Trans. Circuits and Systems for Video Technology, vol. 22, no. 3, pp. 366–378, 2012. [Abstract]
  4. X. Lu, T. Gong, P. Yan, Y. Yuan, X. Li (2012). "Robust Alternative Minimization for Matrix Completion," IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 42, no. 3, pp. 939–949, 2012. [Abstract]
  5. B. Turkbey, R. Huang, S. Vourganti, H. Trivedi, M. Bernardo, P. Yan, C. Benjamin, P. Pinto, P. Choyke (2012). "Age related changes in prostate zonal volume as measured by high resolution prostate MRI: a cross sectional study in over 500 patients," BJU International, vol. 110, no. 11, pp. 1642–1647, 2012. [Abstract]

2011

  1. A. Ayvaci, P. Yan, S. Xu, S. Soatto, J. Kruecker (2011). "Biopsy Needle Detection in Transrectal Ultrasound," Computerized Medical Imaging and Graphics, vol. 35, pp. 653– 659, 2011. [Abstract]
  2. P. Pinto, P. Chung, A. Rastinehad, A. Baccala, J. Kruecker, C. Benjamin, S. Xu, P. Yan, S. Kadoury, C. Chua, J. Locklin, B. Turkbey, J. Shih, S. Gates, C. Buckner, G. Bratslavsky, M. Linehan, N. Glossop, P. Choyke, and B. Wood (2011). "Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging," Journal of Urology, vol. 186, no. 4, pp. 1281–1285, Oct. 2011. [Abstract]
  3. Y. Tang, P. Yan*, Y. Yuan, and X. Li (2011). "Single-image Super Resolution via Local Learning," International Journal of Machine Learning and Cybernetics, vol. 2, no. 1, pp. 15–23, 2011. [Abstract]
  4. X. Cao, Z. Wang, P. Yan, X. Li (2011). "Rapid Pedestrian Detection in Unseen Scenes," Neurocomputing, vol. 74, pp. 3343–3350, 2011. [Abstract]
  5. X. Cao, C. Wu, J. Lan, P. Yan, X. Li (2011). "Vehicle Detection and Motion Analysis in Low-altitude Airborne Video under Urban Environment," IEEE Trans. Circuits and Systems for Video Technology, vol. 21, No. 10, pp. 1522–1533, Oct. 2011. [Abstract]
  6. A. Rastinehad, A. Baccala, P. Chung, J. Proano, J. Kruecker, S. Xu, J. Locklin, B. Turkbey, J. Shih, G. Bratslavsky, W. Linehan, N. Glossop, P. Yan, S. Kadoury, P. Choyke, B. Wood, P. Pinto (2011). "D’Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging," Journal of Urology, vol. 185, no. 3, pp. 815–820, March 2011. [Abstract]
  7. P. Yan, S. Xu, B. Turkbey, and J. Kruecker (2011). "Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound.," IEEE Trans. Biomedical Engineering, vol. 58, no. 3, pp. 633–641, March 2011. [Abstract]

2010

  1. P. Yan, S. Xu, B. Turkbey, and J. Kruecker (2010). "Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation," IEEE Trans. Biomedical Engineering, vol. 57, no. 5, pp. 1158–1166, May 2010. [Abstract]

2009

  1. P. Yan, A. A. Kassim, W. Shen, and M. Shah (2009). "Modeling Interaction for Segmentation of Neighboring Structures," IEEE Trans. Information Technology In Biomedicine, vol. 13, no. 2, pp. 252–262, March 2009. [Abstract]

2008

  1. A. A. Kassim and P. Yan (2008). "Medical Image Processing," Encyclopedia of Computer Science and Engineering, B.W. Wah (ed.), JohnWiley & Sons, New Jersey, 2008. [Abstract]
  2. P. Yan, X. Zhou, M. Shah and S. T.C.Wong (2008). "Automatic Segmentation of RNAi Fluorescent Cellular Images with Interaction Model," IEEE Trans. Information Technology In Biomedicine, vol. 12, no. 1, pp. 109–117, Jan 2008. [Abstract]

2007

  1. O. Alatas, P. Yan, and M. Shah (2007). "Spatiotemporal Regularity Flow (SPREF): Its Estimation and Applications," IEEE Trans. Circuits and Systems for Video Technology, vol. 17, no. 5, pp. 584–589, May 2007. [Abstract]

2006

  1. P. Yan and A. A. Kassim (2006). "Medical image segmentation using minimal path deformable models with implicit shape priors," IEEE Trans. Information Technology in Biomedicine, vol. 10, no. 4, pp. 677–684, October, 2006. [Abstract]
  2. P. Yan and A. A. Kassim (2006). "Segmentation of Volumetric MRA Images by Using Capillary Active Contour," Medical Image Analysis, vol. 10, no. 3, pp. 317–329, June, 2006. [Abstract]

2005

  1. A. A. Kassim, P. Yan, W. S. Lee and K. Sengupta (2005). "Motion Compensated Lossy-to- Lossless Compression of 4D Medical Images Using Integer Wavelet Transforms," IEEE Trans. Information Technology In Biomedicine, vol. 9, no. 1, pp. 132–138, March, 2005. [Abstract]