Active Contour-Based Cell Segmentation During Freezing and Its Application in Cryopreservation. - Pengxiang Wu; Jingru Yi; Gang Zhao 006; Zhangjin Huang; Bensheng Qiu; Dayong Gao (IEEE Trans. Biomed. Eng., 2015)

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). - Chao Chen 012; Dimitris N. Metaxas; Yusu Wang 001; Pengxiang Wu (SoCG, 2017)

Fast Neural Cell Detection Using Light-Weight SSD Neural Network. - Jingru Yi; Pengxiang Wu; Daniel J. Hoeppner; Dimitris N. Metaxas (CVPR Workshops, 2017)

3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI. - Dong Yang 005; Pengxiang Wu; Chaowei Tan; Kilian M. Pohl; Leon Axel; Dimitris N. Metaxas (FIMH, 2017)

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. - Pengxiang Wu; Chao Chen 012; Yusu Wang 001; Shaoting Zhang 001; Changhe Yuan; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2017)

Towards large-scale MR thigh image analysis via an integrated quantification framework. - Chaowei Tan; Kang Li 004; Zhennan Yan; Jingru Yi; Pengxiang Wu; Hui Jing Yu; Klaus Engelke; Dimitris N. Metaxas (Neurocomputing, 2017)

Instance Segmentation of Neural Cells. - Jingru Yi; Pengxiang Wu; Menglin Jiang; Daniel J. Hoeppner; Dimitris N. Metaxas (ECCV Workshops (6), 2018)

Pixel-wise neural cell instance segmentation. - Jingru Yi; Pengxiang Wu; Daniel J. Hoeppner; Dimitris N. Metaxas (ISBI, 2018)

Point Cloud Processing via Recurrent Set Encoding. - Pengxiang Wu; Chao Chen 012; Jingru Yi; Dimitris N. Metaxas (AAAI, 2019)

Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow. - Jingru Yi; Pengxiang Wu; Qiaoying Huang; Hui Qu; Daniel J. Hoeppner; Dimitris N. Metaxas (CVPR Workshops, 2019)

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. - Xudong Zhang 004; Pengxiang Wu; Changhe Yuan; Yusu Wang 001; Dimitris N. Metaxas; Chao Chen 012 (IJCAI, 2019)

MRI Reconstruction Via Cascaded Channel-Wise Attention Network. - Qiaoying Huang; Dong Yang 005; Pengxiang Wu; Hui Qu; Jingru Yi; Dimitris N. Metaxas (ISBI, 2019)

Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images. - Hui Qu; Gregory M. Riedlinger; Pengxiang Wu; Qiaoying Huang; Jingru Yi; Subhajyoti De; Dimitris N. Metaxas (ISBI, 2019)

Deep Attentive Feature Learning for Histopathology Image Classification. - Pengxiang Wu; Hui Qu; Jingru Yi; Qiaoying Huang; Chao Chen 012; Dimitris N. Metaxas (ISBI, 2019)

Context-Refined Neural Cell Instance Segmentation. - Jingru Yi; Pengxiang Wu; Qiaoying Huang; Hui Qu; Daniel J. Hoeppner; Dimitris N. Metaxas (ISBI, 2019)

Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes. - Jingru Yi; Pengxiang Wu; Qiaoying Huang; Hui Qu; Bo Liu 005; Daniel J. Hoeppner; Dimitris N. Metaxas (MICCAI (1), 2019)

Dynamic MRI Reconstruction with Motion-Guided Network. - Qiaoying Huang; Dong Yang 005; Hui Qu; Jingru Yi; Pengxiang Wu; Dimitris N. Metaxas (MIDL, 2019)

Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images. - Hui Qu; Pengxiang Wu; Qiaoying Huang; Jingru Yi; Gregory M. Riedlinger; Subhajyoti De; Dimitris N. Metaxas (MIDL, 2019)

ASSD: Attentive single shot multibox detector. - Jingru Yi; Pengxiang Wu; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2019)

Attentive neural cell instance segmentation. - Jingru Yi; Pengxiang Wu; Menglin Jiang; Qiaoying Huang; Daniel J. Hoeppner; Dimitris N. Metaxas (Medical Image Anal., 2019)

Object-Guided Instance Segmentation for Biological Images. - Jingru Yi; Hui Tang; Pengxiang Wu; Bo Liu 005; Daniel J. Hoeppner; Dimitris N. Metaxas; Lianyi Han; Wei Fan 001 (AAAI, 2020)

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. - Pengxiang Wu; Siheng Chen; Dimitris N. Metaxas (CVPR, 2020)

Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. - Pengxiang Wu; Qiaoying Huang; Jingru Yi; Hui Qu; Meng Ye 003; Leon Axel; Dimitris N. Metaxas (ECCV Workshops (1), 2020)

Error-Bounded Correction of Noisy Labels. - Songzhu Zheng; Pengxiang Wu; Aman Goswami; Mayank Goswami 001; Dimitris N. Metaxas; Chao Chen 012 (ICML, 2020)

Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty. - Hui Qu; Jingru Yi; Qiaoying Huang; Pengxiang Wu; Dimitris N. Metaxas (ISBI, 2020)

Vertebra-Focused Landmark Detection for Scoliosis Assessment. - Jingru Yi; Pengxiang Wu; Qiaoying Huang; Hui Qu; Dimitris N. Metaxas (ISBI, 2020)

Enhanced MRI Reconstruction Network Using Neural Architecture Search. - Qiaoying Huang; Dong Yang 005; Yikun Xian; Pengxiang Wu; Jingru Yi; Hui Qu; Dimitris N. Metaxas (MLMI@MICCAI, 2020)

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. - Meng Ye 003; Qiaoying Huang; Dong Yang 005; Pengxiang Wu; Jingru Yi; Leon Axel; Dimitris N. Metaxas (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

A Topological Filter for Learning with Label Noise. - Pengxiang Wu; Songzhu Zheng; Mayank Goswami 001; Dimitris N. Metaxas; Chao Chen 012 (NeurIPS, 2020)

Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. - Yingheng Tang; Keisuke Kojima; Toshiaki Koike-Akino; Ye Wang 001; Pengxiang Wu; Mohammad H. Tahersima; Devesh K. Jha; Kieran Parsons; Minghao Qi (OFC, 2020)

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. - Hui Qu; Pengxiang Wu; Qiaoying Huang; Jingru Yi; Zhennan Yan; Kang Li 004; Gregory M. Riedlinger; Subhajyoti De; Shaoting Zhang 001; Dimitris N. Metaxas (IEEE Trans. Medical Imaging, 2020)

Learning with Feature-Dependent Label Noise: A Progressive Approach. - Yikai Zhang 003; Songzhu Zheng; Pengxiang Wu; Mayank Goswami 001; Chao Chen 012 (ICLR, 2021)

Learning Distilled Collaboration Graph for Multi-Agent Perception. - Yiming Li 003; Shunli Ren; Pengxiang Wu; Siheng Chen; Chen Feng 002; Wenjun Zhang (NeurIPS, 2021)

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. - Jingru Yi; Pengxiang Wu; Bo Liu 005; Qiaoying Huang; Hui Qu; Dimitris N. Metaxas (WACV, 2021)

Dynamic MRI reconstruction with end-to-end motion-guided network. - Qiaoying Huang; Yikun Xian; Dong Yang 005; Hui Qu; Jingru Yi; Pengxiang Wu; Dimitris N. Metaxas (Medical Image Anal., 2021)

Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. - Jingru Yi; Pengxiang Wu; Hui Tang; Bo Liu 005; Qiaoying Huang; Hui Qu; Lianyi Han; Wei Fan 001; Daniel J. Hoeppner; Dimitris N. Metaxas (IEEE Trans. Medical Imaging, 2021)

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. - Shishira R. Maiya; Sharath Girish; Max Ehrlich; Hanyu Wang 002; Kwot Sin Lee; Patrick Poirson; Pengxiang Wu; Chen Wang; Abhinav Shrivastava (CVPR, 2023)

FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding. - Pengxiang Wu; Siman Wang; Kevin Dela Rosa; Derek Hao Hu (NeurIPS, 2023)

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. - Hanyu Wang 002; Pengxiang Wu; Kevin Dela Rosa; Chen Wang; Abhinav Shrivastava (WACV, 2024)

Learning to Abstain From Uninformative Data. - Yikai Zhang 003; Songzhu Zheng; Mina Dalirrooyfard; Pengxiang Wu; Anderson Schneider; Anant Raj; Yuriy Nevmyvaka; Chao Chen 012 (Trans. Mach. Learn. Res., 2024)