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Peer Reviewed Conference Papers

2024

  1. X. Xu, J. Lee, N. Lampen, D. Kim, T. Kuang, H. Deng, M.A.K. Liebschner, J. Gateno, P. Yan (2024). "Diagnosis and Reconstruction Transformer for Assessing Mandibular Deformity," Proceedings of the MICCAI 2024, Marrakesh, Morocco (2024) [Abstract]
  2. J. Zhang, G. Wang, M.K. Kalra, P. Yan (2024). "Disease-informed Adaptation of Vision-Language Models," Proceedings of the MICCAI 2024, Marrakesh, Morocco (2024) Early Accept [Abstract]
  3. Z. Yang, J. Zhang, G. Wang, M.K. Kalra, P. Yan (2024). "Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba," Proceedings of the MICCAI 2024, Marrakesh, Morocco (2024) Early Accept [Abstract]
  4. X. Song, X. Xu, P. Yan (2024). "General Purpose Image Encoder DINOv2 for Training-free Multi-modal Deformable Medical Image Registration," Proceedings of the MICCAI 2024, Marrakesh, Morocco (2024) Early Accept [Abstract]
  5. J. Lee, X. Xu, D. Kim, H.H. Deng, T. Kuang, N. Lampen, X. Fang, J. Gateno, P. Yan (2024). "Large Language Models Diagnose Facial Deformity," Proceedings of the 38th International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS), Barcelona, Spain (2024) [Abstract]
  6. X. Fang, H. Deng, T. Kuang, , X. Xu, J. Lee, J. Gateno, P. Yan (2024). "Patient-specific reference model estimation for orthognathic surgical planning," Proceedings of the International Conference on Information Processing in Computer- Assisted Interventions (IPCAI), Barcelona, Spain (2024) The NVIDIA Bench-to-Bedside Award, Runner Up [Abstract]

2023

  1. R. Mahmood, G. Wang, M.K. Kalra, P. Yan (2023). "Fact-Checking of AI-Generated Reports," Proceedings of the Machine Learning in Medical Imaging (MLMI), Vancouver, Canada (2023) [Publication, Abstract]
  2. J. Zhang, H. Chao, A. Dhurandhar, P.-Y. Chen, A. Tajer, Y. Xu, P. Yan (2023). "Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada (2023) Early Accept [Abstract]
  3. X. Fang, D. Kim, X. Xu, T. Kuang, N. Lampen, J. Lee, H.H. Deng, J. Gateno, M.A.K. Liebschner, J.J. Xia, P. Yan (2023). "Soft-tissue Driven Craniomaxillofacial Surgical Planning," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada (2023) Early Accept [Abstract]
  4. N. Lampen, D. Kim, X. Xu, T. Kuang, X. Fang, J. Lee, H.H. Deng, M.A.K. Liebschner, J.J. Xia, J. Gateno, P. Yan (2023). "Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada (2023) Early Accept [Abstract]
  5. X. Xu, H.H. Deng, T. Chen, T. Kuang, J.C. Barber, D. Kim, J. Gateno, J.J. Xia, P. Yan (2023). "Federated Cross Learning for Medical Image Segmentation," Proceedings of Medical Imaging with Deep Learning (MIDL), July 10-12, 2023. [Abstract]
  6. J. Zhang, H. Chao, A. Dhurandhar, P.-Y. Chen, A. Tajer, Y. Xu, P. Yan (2023). "When Neural Networks Fail to Generalize? A Model Sensitivity Perspective," AAAI Conference on Artificial Intelligence (AAAI-2023), 37(9), 11219-11227. [Publication, Abstract]
  7. X. Song, X. Xu, S. Xu, B. Turkbey, B.J. Wood, T. Sanford, P. Yan (2023). "Distance Map Supervised Landmark Localization for MR-TRUS Registration," Proc. SPIE 1246433, Medical Imaging 2023: Image Processing, 1246433, San Diego, CA (2023) [Publication, Abstract]
  8. M. Li, N. Varble, J. Karanian, P. Yan, S. Xu, B.J. Wood (2023). "Computer vision-based bronchoscope tracking and navigation tool," Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124661Z, San Diego, CA (2023) [Publication, Abstract]

2022

  1. D. Machado Reyes, M. Kim, H. Chao, J. Hahn, L. Shen, P. Yan (2022). "Genomics transformer for diagnosing Parkinson's disease," Proceedings of the IEEE International Conference on Biomedical and Health Informatics (BHI'22), Ioannina, Greece, September 27-30, 2022. [Abstract]
  2. D. Machado-Reyes, M. Kim, H. Chao, L. Shen, P. Yan (2022). "Connectome Transformer with Anatomically Inspired Attention for Parkinson's Diagnosis," Proceedings of the 13th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Article No.: 35, Pages 1–4, Chicago, IL, USA, August 7-10, 2022. [Publication, Abstract]
  3. X. Fang, D. Kim, X. Xu, T. Kuang, H. Deng, J.C. Barber, N. Lampen, J. Gateno, J.J. Xia, P. Yan (2022). "Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement," Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Sept. 18-22, 2022. [Publication, Abstract]
  4. J. Zhang, H. Chao, G. Dasegowda, G. Wang, M.K. Kalra, P. Yan (2022). "Overlooked Trustworthiness of Saliency Maps," Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Sept. 18-22, 2022. [Publication, Abstract]
  5. H. Chao, J. Zhang, P. Yan (2022). "Regression Metric Loss: Learning a Semantic Representation Space for Medical Images," Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Singapore, Sept. 18-22, 2022. [Publication, Abstract]
  6. N. Lampen, D. Kim, X. Fang, X. Xu, T. Kuang, H.H. Deng, J.C. Barber, J. Gateno, J.J. Xia, P. Yan (2022). "Biomechanics-Informed Deep Learning for Facial Tissue Deformation Modeling in Orthognathic Surgical Planning," Proceedings of the IPCAI 2022, Tokyo, Japan (2022) [Abstract]

2021

  1. D. Machado Reyes, H. Chao, F. Homayounieh, J. Hahn, M. K. Kalra, P. Yan (2021). "Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction," Proceedings of the Machine Learning in Medical Imaging (MLMI), Strasbourg, France (2021) [Publication, Abstract]
  2. J. Zhang, H. Chao, X. Xu, C. Niu, G. Wang, P. Yan (2021). "Task-Oriented Low-Dose CT Image Denoising," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept. 27-Oct.1, 2021. [Abstract]
  3. H. Guo, X. Xu, S. Xu, B.J. Wood, P. Yan (2021). "End-to-end Ultrasound Frame to Volume Registration," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept. 27-Oct.1, 2021. Early Accept [Abstract]
  4. X. Song, H. Guo, X. Xu, H. Chao, S. Xu, B. Turkbey, B.J. Wood, G. Wang, P. Yan (2021). "Cross-modal Attention for MRI and Ultrasound Volume Registration," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept. 27-Oct.1, 2021. Early Accept [Abstract]
  5. N. Agu, J. Wu, H. Chao, I. Lourentzou, A. Sharma, M. Moradi, P. Yan, J. Hendler (2021). "AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept. 27-Oct.1, 2021. Early Accept [Abstract]
  6. H. Guo, S. Xu, B.J. Wood, P. Yan (2021). "Transducer Adaptive Ultrasound Volume Reconstruction," IEEE International Symposium on Biomedical Imaging (ISBI), Nice, France, Apr. 13-16, 2021. [Publication, Abstract]

2020

  1. X. Fang, B. Du, S. Xu, B.J. Wood, P. Yan (2020). "Unified multi-scale feature abstraction for medical image segmentation," Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 1131319, Houston, Texas, 15-22 February 2020. [Publication, Abstract]
  2. H. Guo, M. Kruger, G. Wang, M.K. Kalra, P. Yan (2020). "Multi-task learning for mortality prediction in LDCT images," Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142C, Houston, Texas, 15-22 February 2020. [Publication, Abstract]
  3. X. Fang, T. Sanford, B. Turkbey, S. Xu, B.J. Wood, P. Yan (2020). "Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation," International Workshop on Machine Learning in Medical Imaging (MLMI 2020), pp. 160-169, Lima, Peru, Oct. 4, 2020. [Publication, Abstract]
  4. H. Guo, S. Xu, B.J. Wood, P. Yan (2020). "Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, Oct. 4-8, 2020. [Publication, Abstract]
  5. D. Zou, Q. Zhu, P. Yan (2020). "Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation," Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 3291-3298, Yokohama, Japan, July 11-17, 2020. [Publication, Abstract]

2019

  1. X. Chen, R. Zhang, P. Yan (2019). "Feature Fusion Encoder Decoder Network for Automatic Liver Lesion Segmentation," Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, April 2019. [Publication, Abstract]
  2. P. Yan, H. Guo, G. Wang, R. De Man, M.K. Kalra (2019). "Hybrid Neural Networks for Mortality Prediction in LDCT Images," IEEE International Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, July 2019 [Publication, Abstract]

2018

  1. P. Yan, S. Xu, A. Rastinehad, B. Wood (2018). "Adversarial Image Registration with Application for MR and TRUS Image Fusion," Proceedings of International Workshop on Machine Learning in Medical Imaging (MLMI), pp. 197-204, Granada, Spain (2018) [Publication, Abstract]
  2. S. Azizi, P. Yan, A. Tahmasebi, P. Pinto, B. Wood, J.T. Kwak, S. Xu, B. Turkbey, P. Choyke, P. Mousavi, P. Abolmaesumi (2018). "Temporal Enhanced Ultrasound for Prostate Cancer Grading and Biopsy Guidance," Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain (2018). [Abstract]
  3. Q. Zhu, B. Du, J. Wu, P. Yan (2018). "Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNet," Proceedings of the International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil (2018) [Abstract]
  4. R. Yao, M. Ochoa, X. Intes, P. Yan (2018). "Fluorescence Lifetime Imaging with Compressive Sensing through Deep Convolutional Neural Network," Optical Tomography and Spectroscopy 2018, Hollywood, FL (2018) [Publication, Abstract]
  5. R. Yao, M. Ochoa, X. Intes, P. Yan (2018). "Deep Compressive Macroscopic Fluorescence Lifetime Imaging," Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, 4-7 April 2018 [Publication, Abstract]

2017

  1. Q. Zhu, B. Du, B. Turkbey, P.L. Choyke, P. Yan (2017). "Deeply-Supervised CNN for Prostate Segmentation," International Joint Conference on Neural Networks (IJCNN), Anchorage, AK (2017) [Abstract]
  2. S. Bayat, F. Imani, C.D. Gerardo, G. Nir, S. Azizi, P. Yan, A. Tahmasebi, S. Wilson, K.A. Iczkowski, M.S. Lucia, L. Goldenberg, S.E. Salcudean, P. Mousavi, P. Abolmaesumi (2017). "Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing," SPIE Medical Imaging, vol. 10139, Orlando, FL (2017) [Publication, Abstract]

2016

  1. S. Azizi, P. Mousavi, P. Yan, A. Tahmasebi, J. Kruecker, P. Abolmaesumi (2016). "Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece 2016. [Abstract]

2015

  1. W. Shi, A. Anand, S. Sethuram, S-W Huang, H. Xie, H. Agarwal, P. Yan, J. Azevedo, J. Kruecker, G. Ng, V. Shamdasani,W. Pritchard, J. Karanian, B.Wood (2015). "Monitoring of Radiofrequency Ablation with Shear Wave Delay Mapping," International Ultrasound Symposium (IUS), Taipei, Taiwan 2015. [Abstract]
  2. E. Dehghan, K. Lu, P. Yan, A. Tahmasebi, J. Kruecker (2015). "Surface-based registration of liver in ultrasound and CT," SPIE Medical Imaging 2015: Visualization, Image-guided Procedures and Modeling, Orlando, FL 2015. [Abstract]

2014

  1. N. Uniyal, F. Imani, A. Tahmasebi, H. Agarwal, S. Bharat, P. Yan, J. Kruecker, J.T. Kwak, S. Xu, B.Wood, P. Pinto, B. Turkbey, P. Choyke, P. Abolmaesumi, P. Mousavi, M. Moradi (2014). "Ultrasound-based Predication of Prostate Cancer in MRI-guided Biopsy," Third Workshop on Clinical Image-based Procedures (CLIP 2014), Boston, MA, Sept. 2014. (Best Paper Award, 3rd place) [Abstract]

2012

  1. X. Qin, Y. Liu, H. Lu, X. Li, P. Yan (2012). "Coupled Directional Level Set forMRImage Segmentation," International Conference on Machine Learning and Applications (ICMLA), Boca Raton, Florida, 2012. [Abstract]
  2. Y. Cao, X. Li, P. Yan (2012). "Multi-Atlas based Image Segmentation with Label Image Constraint," International Conference on Machine Learning and Applications (ICMLA), Boca Raton, Florida, 2012. [Abstract]
  3. X. Lu, H. Yuan, P. Yan, Y. Yuan, and X. Li (2012). "Geometry Constrained Sparse Coding for Single Image Super-resolution," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, 2012. (Acceptance Rate: 26%) [Abstract]
  4. K. Reddy, B. Solmaz, P. Yan, N. Avgeropoulos, D. Rippe and M. Shah (2012). "Confidence guided enhancing brain tumor segmentation in multi-parametric MRI," IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012. (Oral Presentation Acceptance Rate: 19%) [Abstract]

2011

  1. Y. Cao, Y. Yuan, X. Li, B. Turkbey, P. L. Choyke, P. Yan (2011). "Segmenting Images by Combining Selected Atlases on Manifold," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada 2011. (Acceptance Rate: 30%) [Abstract]
  2. M. Yang, Y. Yuan, X. Li, P. Yan (2011). "Medical Image Segmentation Using Descriptive Image Features," British Machine Vision Conference (BMVC), Dundee, UK, 2011. (Acceptance Rate: 32%) [Abstract]
  3. X. Lu, H. Yuan, P. Yan, Y. Yuan, X. Li (2011). "Image Denoising via Improved Sparse Coding," British Machine Vision Conference (BMVC), Dundee, UK, 2011. (Acceptance Rate: 32%) [Abstract]
  4. W. Zhang, Y. Yuan, X. Li, P. Yan (2011). "Learning SURPASS for Hierarchical 3D Medical Image Segmentation," IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Acceptance Rate: 41%) [Abstract]
  5. Y. Cao, Y. Yuan, X. Li, P. Yan (2011). "Putting Images on a Manifold for Atlas-based Image Segmentation," IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Oral Presentation) [Abstract]
  6. Q. Wang, P. Yan, Y. Yuan, X. Li (2011). "Robust color correction in stereo vision," IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Acceptance Rate: 41%) [Abstract]
  7. X. Lu, Y. Yuan, P. Yan, X. Li (2011). "A novel alternative algorithm for limited angle tomography," IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Acceptance Rate: 41%) [Abstract]
  8. X. Cao, C. Wu, P. Yan, X. Li (2011). "Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos," IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011. (Acceptance Rate: 41%) [Abstract]
  9. W. Zhang, P. Yan, and X. Li (2011). "Estimating Patient-specific Shape Prior for Medical Image Segmentation," IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, April, 2011. (Acceptance Rate: 46%) [Abstract]

2010

  1. P. Yan and J. Kruecker (2010). "Incremental Shape Statistics Learning for Prostate Tracking in TRUS," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 2, pp. 42-49, Beijing, China 2010. (Acceptance Rate: 32%) [Abstract]
  2. S. Kadoury, P. Yan, S. Xu, N. D. Glossop, P. L. Choyke, B. Turkbey, P. Pinto, B. J. Wood, J. Kruecker (2010). "Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates," Prostate Cancer Imaging in conjunction with MICCAI 2010, pp. 52-62, Beijing, China 2010. [Abstract]
  3. P. Yan, S. Xu, B. Turkbey, and J. Kruecker (2010). "Segmenting TRUS video sequences using local shape statistics," SPIE Medical Imaging 2010: Visualization, Image-guided Procedures and Modeling, San Diego, CA 2010. [Abstract]
  4. S. Xu, B. Turkbey, J. Kruecker, J. Locklin, P. Yan, P. A. Pinto, P. L. Choyke, and B. J. Wood (2010). "Multiparametric MRI-pathologic correlation of prostate cancer using tracked biopsies," SPIE Medical Imaging 2010: Visualization, Image-guided Procedures and Modeling, San Diego, CA 2010. [Abstract]

2009

  1. P. Yan, S. Xu, B. Turkbey, and J. Kruecker (2009). "Optimal search guided by partial active shape model for prostate segmentation in TRUS images," SPIE Medical Imaging: Visualization, Image-guided Procedures and Modeling, Orlando, Florida 2009. [Abstract]

2008

  1. P. Yan, S. M. Khan, and M. Shah (2008). "Learning 4D Action Feature Models for Arbitrary View Action Recognition," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, 2008. (Acceptance Rate: 31%) [Abstract]
  2. T. Goodhart, P. Yan, and M. Shah (2008). "Action Recognition using Spatio-Temporal Regularity based Features," International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, NV, 2008. (Oral Presentation) [Abstract]

2007

  1. P. Yan, S. M. Khan, and M. Shah (2007). "3D Model based Object Class Detection in An Arbitrary View," IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007. (Acceptance Rate: 23.5%) [Abstract]
  2. S. M. Khan, P. Yan, and M. Shah (2007). "A Homographic Framework for the Fusion of Multi-view Silhouettes," IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007. (Acceptance Rate: 23.5%) [Abstract]

2006

  1. P. Yan and M. Shah (2006). "Segmentation of Neighboring Structures by Modeling Their Interaction," IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), in conjunction with CVPR, New York, 2006. (Acceptance Rate: 40%) [Abstract]

2005

  1. P. Yan and A. A. Kassim (2005). "MRA image segmentation with capillary active contours," In Proc. Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 1, pp. 51–58, 2005. (Oral Presentation Acceptance Rate: 7.3%) [Abstract]
  2. P. Yan, W. Shen, A. A. Kassim, and M. Shah (2005). "Segmentation of neighboring organs in medical image with model competition," Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 1, pp. 270–277, 2005. (Acceptance Rate: 37%) [Abstract]
  3. R. Medina., A. Bravo, P. Windyga, J. Toro, P. Yan, and G. Onik (2005). "A 2-D Active Appearance Model For Prostate Segmentation in Ultrasound Images," Int. Conf. IEEE Eng. Medicine & Biology Society (EMBC), pp. 3363–3366, 2005. [Abstract]

2004

  1. P. Yan and A. A. Kassim (2004). "Lossless and near-lossless motion-compensated 4D medical image compression," IEEE Int. Workshop on BioMedical Circuits & Systems (Bio-CAS), Singapore, December 2004. (Oral Presentation) [Abstract]
  2. P. Yan and A. A. Kassim (2004). "Medical image segmentation with minimal path deformable models," IEEE Int. Conf. Image Processing (ICIP), pp. 2733–2736, Singapore, October 2004. (Acceptance Rate: 44%) [Abstract]