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Yuyin Zhou
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2020 – today
- 2024
- [j16]Qingyue Wei, Md Tauhidul Islam, Yuyin Zhou, Lei Xing
:
Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. Briefings Bioinform. 25(2) (2024) - [j15]Muhammad Imran
Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. Biomed. Signal Process. Control. 96: 106657 (2024) - [j14]Amarjeet Kumar, Hongxu Jiang
A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention. Comput. Biol. Medicine 182: 109173 (2024) - [j13]Hongxu Jiang, Muhammad Imran
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images. Comput. Medical Imaging Graph. 112: 102326 (2024) - [j12]Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman, Amarjeet Kumar, Chelsea Viscardi, Robert Evans Heithaus, Benjamin Shickel, Yuyin Zhou, Michol A Cooper, Wei Shao:
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention. Comput. Medical Imaging Graph. 118: 102470 (2024) - [j11]Jieneng Chen, Jieru Mei
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j10]Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j9]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. Trans. Mach. Learn. Res. 2024 (2024) - [c43]Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou:
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CVPR 2024: 3511-3522 - [c42]Zihao Wei, Chen Wei, Jieru Mei, Yutong Bai, Zeyu Wang, Xianhang Li, Hongru Zhu, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders are Secretly Efficient Learners. CVPR Workshops 2024: 7986-7995 - [c41]Mude Hui, Zihao Wei, Hongru Zhu, Fei Xia, Yuyin Zhou:
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections. CVPR 2024: 11460-11469 - [c40]Junyuan Zhang, Shuang Zeng, Miao Zhang, Runxi Wang, Feifei Wang, Yuyin Zhou, Paul Pu Liang, Liangqiong Qu:
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning. CVPR 2024: 12098-12108 - [c39]Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou:
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-Training. CVPR 2024: 22998-23008 - [c38]Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR 2024: 23523-23533 - [c37]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. ECCV (38) 2024: 239-258 - [c36]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI 2024: 1-5 - [c35]Yunfei Xie, Ce Zhou, Jieru Mei, Xianhang Li, Cihang Xie, Yuyin Zhou:
Brain Tumor Segmentation Through Supervoxel Transformer. ISBI 2024: 1-5 - [c34]Shuang Zeng, Pengxin Guo
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. MICCAI (10) 2024: 707-717 - [e3]Hao Chen
Trustworthy Artificial Intelligence for Healthcare - Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings. Lecture Notes in Computer Science 14812, Springer 2024, ISBN 978-3-031-67750-2 [contents] - [i70]Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention. CoRR abs/2401.13049 (2024) - [i69]Mude Hui, Zihao Wei, Hongru Zhu, Fei Xia, Yuyin Zhou:
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections. CoRR abs/2403.10815 (2024) - [i68]Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou:
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. CoRR abs/2403.15735 (2024) - [i67]Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou:
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CoRR abs/2403.18271 (2024) - [i66]Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie:
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing. CoRR abs/2404.09990 (2024) - [i65]Vishal Balaji Sivaraman
RetinaRegNet: A Versatile Approach for Retinal Image Registration. CoRR abs/2404.16017 (2024) - [i64]Amarjeet Kumar, Hongxu Jiang, Muhammad Imran, Cyndi Valdes, Gabriela Leon, Dahyun Kang, Parvathi Nataraj, Yuyin Zhou, Michael D. Weiss, Wei Shao:
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention. CoRR abs/2405.00130 (2024) - [i63]Hongxu Jiang, Muhammad Imran, Linhai Ma, Teng Zhang, Yuyin Zhou, Muxuan Liang, Kuang Gong, Wei Shao:
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation. CoRR abs/2405.14802 (2024) - [i62]Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Mamba-R: Vision Mamba ALSO Needs Registers. CoRR abs/2405.14858 (2024) - [i61]Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie:
Scaling White-Box Transformers for Vision. CoRR abs/2405.20299 (2024) - [i60]Sucheng Ren, Xiaoke Huang, Xianhang Li, Junfei Xiao, Jieru Mei, Zeyu Wang, Alan L. Yuille, Yuyin Zhou:
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. CoRR abs/2406.05565 (2024) - [i59]Juncheng Wu, Zhangkai Ni
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor. CoRR abs/2406.08377 (2024) - [i58]Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie:
What If We Recaption Billions of Web Images with LLaMA-3? CoRR abs/2406.08478 (2024) - [i57]Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou:
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. CoRR abs/2408.02900 (2024) - [i56]Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu:
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition. CoRR abs/2408.12300 (2024) - [i55]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - [i54]Jiawei Mao, Xiaoke Huang, Yunfei Xie, Yuanqi Chang, Mude Hui, Bingjie Xu, Yuyin Zhou:
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization. CoRR abs/2410.06244 (2024) - [i53]Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Causal Image Modeling for Efficient Visual Understanding. CoRR abs/2410.07599 (2024) - 2023
- [j8]Shengtian Sang
Small-Object Sensitive Segmentation Using Across Feature Map Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6289-6306 (2023) - [j7]Rui Yan
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging 42(7): 1932-1943 (2023) - [c33]Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders Enable Efficient Knowledge Distillers. CVPR 2023: 24256-24265 - [c32]Zeyu Wang, Yutong Bai, Yuyin Zhou, Cihang Xie:
Can CNNs Be More Robust Than Transformers? ICLR 2023 - [c31]Qingyue Wei, Lequan Yu
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. MICCAI (4) 2023: 183-193 - [c30]Yiqing Wang
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. MICCAI (3) 2023: 486-496 - [i52]Haipeng Zhou
Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation. CoRR abs/2303.12313 (2023) - [i51]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - [i50]Muhammad Imran, Brianna Nguyen, Jake Pensa, Sara M. Falzarano, Anthony E. Sisk, Muxuan Liang, John Michael DiBianco, Li-Ming Su, Yuyin Zhou, Wayne G. Brisbane, Wei Shao:
Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study. CoRR abs/2305.19939 (2023) - [i49]Hongxu Jiang, Muhammad Imran, Preethika Muralidharan, Anjali Patel, Jake Pensa, Muxuan Liang, Tarik Benidir, Joseph R. Grajo, Jason P. Joseph, Russell Terry
MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images. CoRR abs/2305.19956 (2023) - [i48]Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation. CoRR abs/2307.11604 (2023) - [i47]Yiqing Wang, Zihan Li
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. CoRR abs/2307.12591 (2023) - [i46]Shiyi Du, Xiaosong Wang
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR abs/2310.02906 (2023) - [i45]Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou:
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. CoRR abs/2310.04412 (2023) - [i44]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i43]Yipeng Gao, Zeyu Wang, Wei-Shi Zheng, Cihang Xie, Yuyin Zhou:
MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation. CoRR abs/2311.01734 (2023) - [i42]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. CoRR abs/2312.13764 (2023) - 2022
- [j6]Yuyin Zhou
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. IEEE Trans. Medical Imaging 41(6): 1346-1357 (2022) - [c29]Yiqing Shen
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CVPR 2022: 10031-10040 - [c28]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR 2022: 10051-10061 - [c27]Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CVPR 2022: 14575-14584 - [c26]Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie
In Defense of Image Pre-Training for Spatiotemporal Recognition. ECCV (25) 2022: 675-691 - [c25]Ayush Singla
Multiple Instance Neuroimage Transformer. PRIME@MICCAI 2022: 36-48 - [c24]Junfei Xiao, Lequan Yu
CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI 2022: 129-146 - [c23]Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [c22]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu:
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. NeurIPS 2022 - [e2]Yuankai Huo
Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13578, Springer 2022, ISBN 978-3-031-16960-1 [contents] - [i41]Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille:
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. CoRR abs/2201.00942 (2022) - [i40]Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
Learning to Bootstrap for Combating Label Noise. CoRR abs/2202.04291 (2022) - [i39]Yiqing Shen, Yuyin Zhou, Lequan Yu:
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CoRR abs/2204.03880 (2022) - [i38]Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
In Defense of Image Pre-Training for Spatiotemporal Recognition. CoRR abs/2205.01721 (2022) - [i37]Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR abs/2205.08576 (2022) - [i36]Zeyu Wang, Yutong Bai, Yuyin Zhou
Can CNNs Be More Robust Than Transformers? CoRR abs/2206.03452 (2022) - [i35]Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou
A Simple Data Mixing Prior for Improving Self-Supervised Learning. CoRR abs/2206.07692 (2022) - [i34]Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. CoRR abs/2208.09567 (2022) - [i33]Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Masked Autoencoders Enable Efficient Knowledge Distillers. CoRR abs/2208.12256 (2022) - [i32]Zichao Li, Li Liu, Zeyu Wang, Yuyin Zhou, Cihang Xie
Bag of Tricks for FGSM Adversarial Training. CoRR abs/2209.02684 (2022) - [i31]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. CoRR abs/2210.06044 (2022) - [i30]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie
Unleashing the Power of Visual Prompting At the Pixel Level. CoRR abs/2212.10556 (2022) - 2021
- [j5]Song Bai
Adversarial Metric Attack and Defense for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2119-2126 (2021) - [j4]Yan Wang
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c21]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI 2021: 3225-3233 - [c20]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) 2021: 25-35 - [c19]Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer:
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS 2021: 1-12 - [e1]Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer:
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [i29]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i28]Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou:
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR abs/2103.15858 (2021) - [i27]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - [i26]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CoRR abs/2106.06047 (2021) - [i25]Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren:
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. CoRR abs/2111.11665 (2021) - [i24]Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR abs/2112.00179 (2021) - 2020
- [j3]David Dreizin
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. J. Digit. Imaging 33(1): 243-251 (2020) - [j2]Lingxi Xie
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Trans. Medical Imaging 39(2): 514-525 (2020) - [c18]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c17]Lifeng Huang
Universal Physical Camouflage Attacks on Object Detectors. CVPR 2020: 717-726 - [c16]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c15]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie
Neural Architecture Search for Lightweight Non-Local Networks. CVPR 2020: 10294-10303 - [c14]Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. MICCAI (3) 2020: 285-295 - [c13]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou
Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. MICCAI (1) 2020: 656-666 - [i23]Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille:
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. CoRR abs/2003.08441 (2020) - [i22]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. CoRR abs/2003.12798 (2020) - [i21]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CoRR abs/2004.01961 (2020) - [i20]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. CoRR abs/2005.09120 (2020) - [i19]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR abs/2010.16074 (2020) - [i18]Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR abs/2011.13046 (2020)
2010 – 2019
- 2019
- [j1]Yan Wang, Yuyin Zhou
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. Medical Image Anal. 55: 88-102 (2019) - [c12]Cihang Xie
Improving Transferability of Adversarial Examples With Input Diversity. CVPR 2019: 2730-2739 - [c11]Yuyin Zhou
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. ICCV 2019: 10671-10680 - [c10]Yuyin Zhou
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI (2) 2019: 155-163 - [c9]Fengze Liu, Yuyin Zhou
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. MLMI@MICCAI 2019: 221-229 - [c8]Yuyin Zhou
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. MLMI@MICCAI 2019: 461-469 - [c7]Zhishuai Zhang, Yuyin Zhou
Lesion Detection by Efficiently Bridging 3D Context. MLMI@MICCAI 2019: 470-478 - [c6]Yuyin Zhou
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [p2]Yuyin Zhou
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 43-67 - [p1]Yingwei Li, Zhuotun Zhu, Yuyin Zhou
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 69-91 - [i17]Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack for Person Re-identification. CoRR abs/1901.10650 (2019) - [i16]Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. CoRR abs/1904.06346 (2019) - [i15]Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. CoRR abs/1906.09540 (2019) - [i14]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. CoRR abs/1908.07654 (2019) - [i13]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. CoRR abs/1909.00906 (2019) - [i12]Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan L. Yuille, Ning Liu:
UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. CoRR abs/1909.04326 (2019) - [i11]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019) - 2018
- [c5]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. CVPR 2018: 8280-8289 - [c4]Yan Wang, Yuyin Zhou
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI (4) 2018: 434-442 - [i10]Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples with Input Diversity. CoRR abs/1803.06978 (2018) - [i9]Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-supervised multi-organ segmentation via multi-planar co-training. CoRR abs/1804.02586 (2018) - [i8]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. CoRR abs/1804.02595 (2018) - [i7]Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. CoRR abs/1804.08414 (2018) - [i6]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. CoRR abs/1812.03413 (2018) - 2017
- [c3]Cihang Xie
Adversarial Examples for Semantic Segmentation and Object Detection. ICCV 2017: 1378-1387 - [c2]Yuyin Zhou
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. MICCAI (3) 2017: 222-230 - [c1]Yuyin Zhou
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. MICCAI (1) 2017: 693-701 - [i5]Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille:
Adversarial Examples for Semantic Segmentation and Object Detection. CoRR abs/1703.08603 (2017) - [i4]Yuyin Zhou, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. CoRR abs/1706.07346 (2017) - [i3]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. CoRR abs/1709.04518 (2017) - [i2]Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille:
Visual Concepts and Compositional Voting. CoRR abs/1711.04451 (2017) - 2016
- [i1]Yuyin Zhou, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. CoRR abs/1612.08230 (2016)
Coauthor Index
[j11] [j10] [j9] [c42] [c37] [c36] [i62] [i60] [i53] [c33] [c30] [i47] [i46] [i45] [i44] [i42] [j6] [c27] [c26] [c24] [i41] [i38] [i35] [i33] [i30] [j4] [c21] [i29] [i28] [i27] [j3] [j2] [c18] [c17] [c16] [c15] [c14] [c13] [i23] [i22] [i21] [i20] [i19] [i18] [j1] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [p2] [p1] [i16] [i15] [i14] [i13] [i12] [i11] [c5] [c4] [i10] [i9] [i8] [i7] [i6] [c3] [c2] [c1] [i5] [i4] [i3] [i2] [i1]
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