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ORCIDPingkun Yan
Person information
- affiliation: Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, NY, USA
- affiliation (former): Philips Research North America, Bethesda, MD, USA
- affiliation (2005 - 2007): University of Central Florida, Orlando, USA
- affiliation (PhD 2006): National University of Singapore, Singapore
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2020 – today
- 2023
[j78]Hengtao Guo
, Hanqing Chao, Sheng Xu, Bradford J. Wood, Jing Wang, Pingkun Yan:
Ultrasound Volume Reconstruction From Freehand Scans Without Tracking. IEEE Trans. Biomed. Eng. 70(3): 970-979 (2023)- [j77]Jiajin Zhang, Hanqing Chao, Pingkun Yan:
Toward Adversarial Robustness in Unlabeled Target Domains. IEEE Trans. Image Process. 32: 1272-1284 (2023) - 2022
- [j76]Nathan Lampen, Daeseung Kim, Xi Fang, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Jaime Gateno, James J. Xia, Pingkun Yan:
Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning. Int. J. Comput. Assist. Radiol. Surg. 17(5): 945-952 (2022) - [j75]Qikui Zhu, Yanqing Wang, Bo Du, Pingkun Yan:
OASIS: One-pass aligned atlas set for medical image segmentation. Neurocomputing 470: 130-138 (2022) - [j74]Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Polar transform network for prostate ultrasound segmentation with uncertainty estimation. Medical Image Anal. 78: 102418 (2022) - [j73]Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan:
Cross-modal attention for multi-modal image registration. Medical Image Anal. 82: 102612 (2022) - [j72]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns 3(5): 100474 (2022) - [j71]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns 3(5): 100475 (2022) - [j70]Feng-Lei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu:
On a Sparse Shortcut Topology of Artificial Neural Networks. IEEE Trans. Artif. Intell. 3(4): 595-608 (2022) - [j69]Xuanang Xu, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation. IEEE Trans. Medical Imaging 41(6): 1331-1345 (2022) - [c69]Diego Machado Reyes, Mansu Kim, Hanqing Chao, Li Shen, Pingkun Yan:
Connectome transformer with anatomically inspired attention for Parkinson's diagnosis. BCB 2022: 35:1-35:4 - [c68]Diego Machado Reyes, Mansu Kim, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan:
Genomics transformer for diagnosing Parkinson's disease. BHI 2022: 1-4 - [c67]Hanqing Chao, Jiajin Zhang, Pingkun Yan:
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images. MICCAI (8) 2022: 427-436 - [c66]Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Overlooked Trustworthiness of Saliency Maps. MICCAI (3) 2022: 451-461 - [c65]Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Nathan Lampen, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan:
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. MICCAI (8) 2022: 565-574 - [c64]Xinrui Song, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Transformed Grid Distance Loss for Supervised Image Registration. WBIR 2022: 177-181 - [i34]Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
X-ray Dissectography Improves Lung Nodule Detection. CoRR abs/2203.13118 (2022) - [i33]Xuanang Xu, Tianyi Chen, Han Deng, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, Pingkun Yan, James J. Xia:
Federated Cross Learning for Medical Image Segmentation. CoRR abs/2204.02450 (2022) - [i32]Xuanang Xu, Pingkun Yan:
Federated Multi-organ Segmentation with Partially Labeled Data. CoRR abs/2206.07156 (2022) - [i31]Hanqing Chao, Jiajin Zhang, Pingkun Yan:
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images. CoRR abs/2207.05231 (2022) - [i30]Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Nathan Lampen, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan:
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement. CoRR abs/2210.01685 (2022) - [i29]Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Pingkun Yan:
Distance Map Supervised Landmark Localization for MR-TRUS Registration. CoRR abs/2210.05738 (2022) - [i28]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. CoRR abs/2212.00850 (2022) - 2021
- [j68]Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan:
Association of AI quantified COVID-19 chest CT and patient outcome. Int. J. Comput. Assist. Radiol. Surg. 16(3): 435-445 (2021) - [j67]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative analysis for COVID-19 patient outcome prediction. Medical Image Anal. 67: 101844 (2021) - [j66]Yuanyuan Gao, Pingkun Yan, Uwe Kruger, Lora Cavuoto, Steven D. Schwaitzberg, Suvranu De, Xavier Intes:
Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task. IEEE Trans. Biomed. Eng. 68(7): 2058-2066 (2021) - [j65]Bo Du, Jiandong Liao, Baris Turkbey, Pingkun Yan:
Multi-Task Learning for Registering Images With Large Deformation. IEEE J. Biomed. Health Informatics 25(5): 1624-1633 (2021) - [c63]Nathan Lampen, Haoyun Su, Deva D. Chan, Pingkun Yan:
T2 Mapping Refined Finite Element Modeling to Predict Knee Osteoarthritis Progression. EMBC 2021: 4592-4595 - [c62]Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Transducer Adaptive Ultrasound Volume Reconstruction. ISBI 2021: 511-515 - [c61]Hengtao Guo, Xuanang Xu, Sheng Xu, Bradford J. Wood, Pingkun Yan:
End-to-end Ultrasound Frame to Volume Registration. MICCAI (4) 2021: 56-65 - [c60]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-Modal Attention for MRI and Ultrasound Volume Registration. MICCAI (4) 2021: 66-75 - [c59]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. MICCAI (6) 2021: 441-450 - [c58]Diego Machado Reyes, Hanqing Chao, Fatemeh Homayounieh, Juergen Hahn, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. MLMI@MICCAI 2021: 467-476 - [c57]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) 2021: 804-813 - [e8]Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan:
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12966, Springer 2021, ISBN 978-3-030-87588-6 [contents] - [i27]Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. CoRR abs/2102.09615 (2021) - [i26]Erim Yanik, Xavier Intes, Uwe Kruger, Pingkun Yan, David Miller, Brian Van Voorst, Basiel Makled, Jack Norfleet, Suvranu De:
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review. CoRR abs/2103.05113 (2021) - [i25]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. CoRR abs/2103.13557 (2021) - [i24]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR abs/2105.09937 (2021) - [i23]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-modal Attention for MRI and Ultrasound Volume Registration. CoRR abs/2107.04548 (2021) - [i22]Hengtao Guo, Xuanang Xu, Sheng Xu, Bradford J. Wood, Pingkun Yan:
End-to-end Ultrasound Frame to Volume Registration. CoRR abs/2107.06449 (2021) - 2020
- [j64]Xi Fang, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Deep learning-based liver segmentation for fusion-guided intervention. Int. J. Comput. Assist. Radiol. Surg. 15(6): 963-972 (2020) - [j63]Hengtao Guo, Melanie Krüger, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Deep adaptive registration of multi-modal prostate images. Comput. Medical Imaging Graph. 84: 101769 (2020) - [j62]Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang:
Synergizing medical imaging and radiotherapy with deep learning. Mach. Learn. Sci. Technol. 1(2): 21001 (2020) - [j61]Grant Haskins, Uwe Kruger, Pingkun Yan:
Deep learning in medical image registration: a survey. Mach. Vis. Appl. 31(1-2): 8 (2020) - [j60]Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-Based Analysis for Mortality Prediction From CT Images. IEEE J. Biomed. Health Informatics 24(2): 457-464 (2020) - [j59]Qikui Zhu, Bo Du, Pingkun Yan:
Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. IEEE Trans. Medical Imaging 39(3): 753-763 (2020) - [j58]Xi Fang, Pingkun Yan:
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction. IEEE Trans. Medical Imaging 39(11): 3619-3629 (2020) - [c56]Danbing Zou, Qikui Zhu, Pingkun Yan:
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. IJCAI 2020: 3291-3298 - [c55]Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. MLMI@MICCAI 2020: 160-169 - [c54]Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning. MICCAI (3) 2020: 463-472 - [c53]Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified multi-scale feature abstraction for medical image segmentation. Medical Imaging: Image Processing 2020: 1131319 - [e7]Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao:
Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12436, Springer 2020, ISBN 978-3-030-59860-0 [contents] - [i21]Xi Fang, Pingkun Yan:
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction. CoRR abs/2001.00208 (2020) - [i20]Qikui Zhu, Bo Du, Pingkun Yan:
Self-supervised Training of Graph Convolutional Networks. CoRR abs/2006.02380 (2020) - [i19]Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning. CoRR abs/2006.07694 (2020) - [i18]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative Analysis for COVID-19 Patient Outcome Prediction. CoRR abs/2007.10416 (2020) - [i17]Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. CoRR abs/2008.01846 (2020) - [i16]Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. CoRR abs/2008.06997 (2020) - [i15]Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Transducer Adaptive Ultrasound Volume Reconstruction. CoRR abs/2011.08419 (2020) - [i14]Jiajin Zhang, Hanqing Chao, Pingkun Yan:
Robustified Domain Adaptation. CoRR abs/2011.09563 (2020)
2010 – 2019
- 2019
- [j57]Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan:
Learning deep similarity metric for 3D MR-TRUS image registration. Int. J. Comput. Assist. Radiol. Surg. 14(3): 417-425 (2019) - [j56]Alireza Sedghi, Mehran Pesteie, Golara Javadi, Shekoofeh Azizi, Pingkun Yan, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi:
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1009-1016 (2019) - [j55]Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan:
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection. IEEE J. Biomed. Health Informatics 23(3): 1129-1140 (2019) - [c52]Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra:
Hybrid Neural Networks for Mortality Prediction from LDCT Images. EMBC 2019: 6243-6246 - [c51]Jia Shao, Bo Du, Chen Wu, Pingkun Yan:
PASiam: Predicting Attention Inspired Siamese Network, for Space-Borne Satellite Video Tracking. ICME 2019: 1504-1509 - [c50]Xueying Chen, Rong Zhang, Pingkun Yan:
Feature Fusion Encoder Decoder Network for Automatic Liver Lesion Segmentation. ISBI 2019: 430-433 - [c49]Zhiguo Zhou, Genggeng Qin, Pingkun Yan, Hongxia Hao, Steve B. Jiang, Jing Wang:
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. Medical Imaging: Computer-Aided Diagnosis 2019: 109502S - [c48]Yuxuan Xiong, Bo Du, Pingkun Yan:
Reinforced Transformer for Medical Image Captioning. MLMI@MICCAI 2019: 673-680 - [p2]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang:
Generative Low-Dose CT Image Denoising. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 277-297 - [e6]Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian:
Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11861, Springer 2019, ISBN 978-3-030-32691-3 [contents] - [i13]Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-based Analysis for Mortality Prediction from CT Images. CoRR abs/1902.07687 (2019) - [i12]Qikui Zhu, Bo Du, Pingkun Yan:
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. CoRR abs/1902.08128 (2019) - [i11]Grant Haskins, Uwe Kruger, Pingkun Yan:
Deep Learning in Medical Image Registration: A Survey. CoRR abs/1903.02026 (2019) - [i10]Xueying Chen, Rong Zhang, Pingkun Yan:
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation. CoRR abs/1903.11834 (2019) - [i9]Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified Multi-scale Feature Abstraction for Medical Image Segmentation. CoRR abs/1910.11456 (2019) - [i8]Qikui Zhu, Bo Du, Pingkun Yan:
Multi-hop Convolutions on Weighted Graphs. CoRR abs/1911.04978 (2019) - [i7]Qikui Zhu, Bo Du, Pingkun Yan:
OASIS: One-pass aligned Atlas Set for Image Segmentation. CoRR abs/1912.02417 (2019) - 2018
- [j54]Shekoofeh Azizi, Nathan Van Woudenberg, Samira Sojoudi, Ming Li, Sheng Xu, Emran Mohammad Abu Anas, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1201-1209 (2018) - [j53]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. Complex. 2018: 4185279:1-4185279:10 (2018) - [j52]Qikui Zhu, Bo Du, Pingkun Yan, Hongbing Lu, Liangpei Zhang:
Shape prior constrained PSO model for bladder wall MRI segmentation. Neurocomputing 294: 19-28 (2018) - [j51]Xianbin Cao, Xiaolong Jiang, Xiaomei Li, Pingkun Yan:
Correlation-Based Tracking of Multiple Targets With Hierarchical Layered Structure. IEEE Trans. Cybern. 48(1): 90-102 (2018) - [j50]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang:
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. IEEE Trans. Medical Imaging 37(6): 1348-1357 (2018) - [j49]Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging 37(12): 2695-2703 (2018) - [c47]Qikui Zhu, Bo Du, Jia Wu, Pingkun Yan:
A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets. IJCNN 2018: 1-6 - [c46]Ruoyang Yao, Marien Ochoa, Xavier Intes, Pingkun Yan:
Deep compressive macroscopic fluorescence lifetime imaging. ISBI 2018: 908-911 - [c45]Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi:
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) 2018: 21-29 - [c44]Pingkun Yan, Sheng Xu, Ardeshir R. Rastinehad, Bradford J. Wood:
Adversarial Image Registration with Application for MR and TRUS Image Fusion. MLMI@MICCAI 2018: 197-204 - [i6]Pingkun Yan, Sheng Xu, Ardeshir R. Rastinehad, Bradford J. Wood:
Adversarial Image Registration with Application for MR and TRUS Image Fusion. CoRR abs/1804.11024 (2018) - [i5]Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan:
Learning Deep Similarity Metric for 3D MR-TRUS Registration. CoRR abs/1806.04548 (2018) - [i4]Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra:
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images. CoRR abs/1810.08503 (2018) - 2017
- [j48]Shekoofeh Azizi, Parvin Mousavi, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi:
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1111-1121 (2017) - [j47]Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir M. Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi, Parvin Mousavi:
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1293-1305 (2017) - [c43]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-supervised CNN for prostate segmentation. IJCNN 2017: 178-184 - [i3]Qingsong Yang, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
CT Image Denoising with Perceptive Deep Neural Networks. CoRR abs/1702.07019 (2017) - [i2]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-Supervised CNN for Prostate Segmentation. CoRR abs/1703.07523 (2017) - [i1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang:
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. CoRR abs/1708.00961 (2017) - 2016
- [c42]Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi:
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) 2016: 653-661 - 2015
- [j46]Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan:
Machine learning in medical imaging. Comput. Medical Imaging Graph. 41: 1-2 (2015) - [j45]Xianjing Qin, Yan Tian, Pingkun Yan:
Feature competition and partial sparse shape modeling for cardiac image sequences segmentation. Neurocomputing 149: 904-913 (2015) - [j44]Xianjing Qin, Hongbing Lu, Yan Tian, Pingkun Yan:
Partial sparse shape constrained sector-driven bladder wall segmentation. Mach. Vis. Appl. 26(5): 593-606 (2015) - [j43]Pingkun Yan, Yihui Cao, Yuan Yuan, Baris Turkbey, Peter L. Choyke:
Label Image Constrained Multiatlas Selection. IEEE Trans. Cybern. 45(6): 1158-1168 (2015) - [c41]Ehsan Dehghan, Kongkuo Lu, Pingkun Yan, Amir M. Tahmasebi, Sheng Xu, Bradford J. Wood, Nadine Abi-Jaoudeh, Aradhana Venkatesan, Jochen Kruecker:
Surface-based registration of liver in ultrasound and CT. Medical Imaging: Image-Guided Procedures 2015: 941522 - 2014
- [j42]Xianbin Cao, Changcheng Gao, Jinhe Lan, Yuan Yuan, Pingkun Yan:
Ego motion guided particle filter for vehicle tracking in airborne videos. Neurocomputing 124: 168-177 (2014) - [j41]Jun Zhang, Qunyu Xu, Xianbin Cao, Pingkun Yan, Xuelong Li:
Hierarchical incorporation of shape and shape dynamics for flying bird detection. Neurocomputing 131: 179-190 (2014) - [j40]Fei Zuo, Jungong Han, Pingkun Yan, Hans C. van Assen, Kenji Suzuki:
Guest Editorial: Special issue on advanced computing for image-guided intervention. Neurocomputing 144: 1-2 (2014) - [j39]Xiaoyan Luo, Jun Zhang, Xianbin Cao, Pingkun Yan, Xuelong Li:
Object-aware power line detection using color and near-infrared images. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1374-1389 (2014) - [j38]Jun Zhang, Haotian Shan, Xianbin Cao, Pingkun Yan, Xuelong Li:
Pylon line spatial correlation assisted transmission line detection. IEEE Trans. Aerosp. Electron. Syst. 50(4): 2890-2905 (2014) - [j37]