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2020 – today
- 2024
[i35]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran
, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024)- [i34]Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li:
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. CoRR abs/2406.05285 (2024) - [i33]Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Daguang Xu, Wenqi Li:
A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. CoRR abs/2408.11210 (2024) - 2023
- [j7]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - [j6]Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j5]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42(7): 2044-2056 (2023) - [c31]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. KiTS@MICCAI 2023: 1-7 - [c30]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. SEG.A@MICCAI 2023: 13-18 - [c29]Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu:
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. MICCAI (4) 2023: 416-426 - [c28]Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu:
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) 2023: 747-756 - [i32]Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li:
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. CoRR abs/2301.03281 (2023) - [i31]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. CoRR abs/2310.04110 (2023) - [i30]Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu:
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge. CoRR abs/2310.04114 (2023) - 2022
- [c27]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CVPR 2022: 20709-20719 - [c26]Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu:
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report. HECKTOR@MICCAI 2022: 31-37 - [c25]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. CuRIOUS/KiPA/MELA@MICCAI 2022: 36-42 - [c24]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI 2022: 47-57 - [c23]Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu:
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) 2022: 77-87 - [c22]Yufan He, Dong Yang, Andriy Myronenko, Daguang Xu:
Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation. MICCAI (5) 2022: 560-569 - [c21]Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. WACV 2022: 1748-1758 - [i29]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i28]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i27]Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR abs/2208.10553 (2022) - [i26]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated ischemic stroke lesion segmentation from 3D MRI. CoRR abs/2209.09546 (2022) - [i25]Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated segmentation of intracranial hemorrhages from 3D CT. CoRR abs/2209.10648 (2022) - [i24]Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu:
Automated head and neck tumor segmentation from 3D PET/CT. CoRR abs/2209.10809 (2022) - [i23]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - [i22]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j4]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [c20]Md Mahfuzur Rahman Siddiquee, Andriy Myronenko:
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs. BrainLes@MICCAI (2) 2021: 163-172 - [c19]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV 2021: 3942-3954 - [c18]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) 2021: 329-338 - [c17]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - [c16]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) 2021: 456-465 - [i21]Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth:
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR abs/2104.10195 (2021) - [i20]Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR abs/2107.05471 (2021) - [i19]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i18]Md Mahfuzur Rahman Siddiquee, Andriy Myronenko:
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs. CoRR abs/2111.00742 (2021) - [i17]Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu:
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR abs/2111.01556 (2021) - [i16]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR abs/2111.07535 (2021) - [i15]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - [i14]Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CoRR abs/2112.10652 (2021) - 2020
- [j3]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - [c15]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV 2020: 3606-3615 - [i13]Andriy Myronenko, Ali Hatamizadeh:
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. CoRR abs/2001.02040 (2020) - [i12]Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images. CoRR abs/2002.04207 (2020) - [i11]Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu:
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR abs/2005.14355 (2020) - [i10]Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020)
2010 – 2019
- 2019
- [c14]Andriy Myronenko, Ali Hatamizadeh:
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. BrainLes@MICCAI (2) 2019: 82-89 - [c13]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI 2019: 72-80 - [c12]Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
End-to-End Boundary Aware Networks for Medical Image Segmentation. MLMI@MICCAI 2019: 187-194 - [i9]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR abs/1906.03347 (2019) - [i8]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for semantic segmentation of cardiac volumetric sequences. CoRR abs/1906.07295 (2019) - [i7]Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko:
Boundary Aware Networks for Medical Image Segmentation. CoRR abs/1908.08071 (2019) - [i6]Andriy Myronenko, Ali Hatamizadeh:
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks. CoRR abs/1909.06684 (2019) - [i5]Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR abs/1910.01763 (2019) - 2018
- [c11]Andriy Myronenko:
3D MRI Brain Tumor Segmentation Using Autoencoder Regularization. BrainLes@MICCAI (2) 2018: 311-320 - [i4]Andriy Myronenko:
3D MRI brain tumor segmentation using autoencoder regularization. CoRR abs/1810.11654 (2018) - 2010
- [j2]Andriy Myronenko, Xubo B. Song:
Point Set Registration: Coherent Point Drift. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2262-2275 (2010) - [j1]Andriy Myronenko, Xubo B. Song:
Intensity-Based Image Registration by Minimizing Residual Complexity. IEEE Trans. Medical Imaging 29(11): 1882-1891 (2010) - [c10]Brian Chuang, Andriy Myronenko, Ruth E. English, J. Alison Noble:
Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images. ISBI 2010: 181-184
2000 – 2009
- 2009
- [c9]Andriy Myronenko, Xubo B. Song:
Image registration by minimization of Mapping Complexity. CVPR Workshops 2009: 17-24 - [c8]Andriy Myronenko, Xubo B. Song:
Image registration by minimization of residual complexity. CVPR 2009: 49-56 - [c7]Andriy Myronenko, Xubo B. Song:
Global active contour-based image segmentation via probability alignment. CVPR 2009: 2798-2804 - [c6]Andriy Myronenko, Xubo B. Song, David J. Sahn:
Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates. FIMH 2009: 427-436 - [i3]Andriy Myronenko, Xubo B. Song:
On the closed-form solution of the rotation matrix arising in computer vision problems. CoRR abs/0904.1613 (2009) - [i2]Andriy Myronenko, Xubo B. Song:
Point-Set Registration: Coherent Point Drift. CoRR abs/0905.2635 (2009) - [i1]Andriy Myronenko, Xubo B. Song:
Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid Image Registration. CoRR abs/0906.3323 (2009) - 2007
- [c5]Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán:
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. CVPR 2007 - [c4]Xubo B. Song, Andriy Myronenko, David J. Sahn:
Speckle Tracking in 3D Echocardiography with Motion Coherence. CVPR 2007 - [c3]Andriy Myronenko, Xubo B. Song, David J. Sahn:
LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information. MICCAI (2) 2007: 428-435 - 2006
- [c2]Xubo B. Song, Andriy Myronenko, Stephen R. Plank, James T. Rosenbaum:
Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh. MICCAI (2) 2006: 553-560 - [c1]Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán:
Non-rigid point set registration: Coherent Point Drift. NIPS 2006: 1009-1016
Coauthor Index
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