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Publication search results
found 47 matches
- 2023
- Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. WACV 2023: 4955-4964 - Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction. CoRR abs/2302.09244 (2023) - 2022
- Bo Zhou
, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan
, Michal Sofka
:
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. Medical Image Anal. 81: 102538 (2022) - Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka:
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. MICCAI (6) 2022: 66-77 - Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. CoRR abs/2201.10776 (2022) - Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, Michal Sofka:
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. CoRR abs/2206.13434 (2022) - 2019
- Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound. SUSI/PIPPI@MICCAI 2019: 3-10 - Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka:
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. MICCAI (3) 2019: 57-64 - Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the point: reinforcement learning for user guidance in ultrasound. CoRR abs/1903.00586 (2019) - 2018
- Vojtech Franc
, Ondrej Fikar, Karel Bartos, Michal Sofka:
Learning data discretization via convex optimization. Mach. Learn. 107(2): 333-355 (2018) - 2017
- Fausto Milletari, Alex Rothberg, Jimmy Jia, Michal Sofka:
Integrating Statistical Prior Knowledge into Convolutional Neural Networks. MICCAI (1) 2017: 161-168 - Michal Sofka, Fausto Milletari, Jimmy Jia, Alex Rothberg:
Fully Convolutional Regression Network for Accurate Detection of Measurement Points. DLMIA/ML-CDS@MICCAI 2017: 258-266 - Lukás Machlica, Karel Bartos, Michal Sofka:
Learning detectors of malicious web requests for intrusion detection in network traffic. CoRR abs/1702.02530 (2017) - 2016
- Karel Bartos, Michal Sofka, Vojtech Franc
:
Learning Invariant Representation for Malicious Network Traffic Detection. ECAI 2016: 1132-1139 - Karel Bartos, Michal Sofka, Vojtech Franc:
Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. USENIX Security Symposium 2016: 807-822 - 2015
- Karel Bartos, Michal Sofka:
Robust Representation for Domain Adaptation in Network Security. ECML/PKDD (3) 2015: 116-132 - Vojtech Franc
, Michal Sofka, Karel Bartos:
Learning Detector of Malicious Network Traffic from Weak Labels. ECML/PKDD (3) 2015: 85-99 - 2014
- Michal Sofka, Jingdan Zhang, Sara Good, Shaohua Kevin Zhou, Dorin Comaniciu
:
Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN). IEEE Trans. Medical Imaging 33(5): 1054-1070 (2014) - Neil Birkbeck, Timo Kohlberger, Jingdan Zhang, Michal Sofka, Jens N. Kaftan, Dorin Comaniciu
, Shaohua Kevin Zhou:
Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. MICCAI (1) 2014: 804-811 - Dijia Wu, Michal Sofka, Neil Birkbeck, Shaohua Kevin Zhou:
Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. MICCAI (1) 2014: 372-380 - 2013
- Dirk Breitenreicher, Michal Sofka, Stefan Britzen, Shaohua Kevin Zhou:
Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images. IPMI 2013: 328-339 - Noha El-Zehiry, Marie-Pierre Jolly, Michal Sofka:
A splice-guided data driven interactive editing. ISBI 2013: 1098-1101 - Adam P. Harrison
, Neil Birkbeck, Michal Sofka:
IntellEditS: Intelligent Learning-Based Editor of Segmentations. MICCAI (3) 2013: 235-242 - Jin Hyeong Park, Michal Sofka, SunMi Lee, Daeyoung Kim, Shaohua Kevin Zhou:
Automatic Nuchal Translucency Measurement from Ultrasonography. MICCAI (3) 2013: 243-250 - 2012
- Kai-Shung Lin, Chia-Ling Tsai, Chih-Hsiangng Tsai, Michal Sofka, Shih-Jen Chen, Wei-Yang Lin:
Retinal Vascular Tree Reconstruction With Anatomical Realism. IEEE Trans. Biomed. Eng. 59(12): 3337-3347 (2012) - 2011
- Neil Birkbeck, Michal Sofka, Shaohua Kevin Zhou:
Fast boosting trees for classification, pose detection, and boundary detection on a GPU. CVPR Workshops 2011: 36-41 - Michal Sofka, Kristof Ralovich, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou:
Integrated Detection Network (IDN) for pose and boundary estimation in medical images. ISBI 2011: 294-299 - Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. MICCAI (3) 2011: 338-345 - Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou:
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. MICCAI (3) 2011: 667-674 - Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, Shaohua Kevin Zhou:
Automatic Contrast Phase Estimation in CT Volumes. MICCAI (3) 2011: 166-174
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