Automatic robust image registration system: Initialization, estimation, and decision. - Gehua Yang; Charles V. Stewart; Michal Sofka; Chia-Ling Tsai (ICVS, 2006)

A Correspondence-Based Software Toolkit for Image Registration. - Chia-Ling Tsai; Charles V. Stewart; A. G. Amitha Perera; Ying-Lin Lee; Gehua Yang; Michal Sofka (SMC, 2006)

Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures. - Michal Sofka; Charles V. Stewart (IEEE Trans. Medical Imaging, 2006)

Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations. - Avi Kelman; Michal Sofka; Charles V. Stewart (CVPR, 2007)

Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework. - Michal Sofka; Gehua Yang; Charles V. Stewart (CVPR, 2007)

Registration of Challenging Image Pairs: Initialization, Estimation, and Decision. - Gehua Yang; Charles V. Stewart; Michal Sofka; Chia-Ling Tsai (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Erratum to "Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures". - Michal Sofka; Charles V. Stewart (IEEE Trans. Medical Imaging, 2007)

Commentary Paper 2 on "Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms". - Michal Sofka (AVSS, 2008)

Commentary Paper 2 on "On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection'". - Michal Sofka (AVSS, 2008)

Commentary Paper on "Shadow Removal in Indoor Scenes". - Michal Sofka (AVSS, 2008)

Location Registration and Recognition (LRR) for Longitudinal Evaluation of Corresponding Regions in CT Volumes. - Michal Sofka; Charles V. Stewart (MICCAI (2), 2008)

Automated Retinal Image Analysis Over the Internet. - Chia-Ling Tsai; Benjamin Madore; Matthew J. Leotta; Michal Sofka; Gehua Yang; Anna Majerovics; Howard L. Tanenbaum; Charles V. Stewart; Badrinath Roysam (IEEE Trans. Inf. Technol. Biomed., 2008)

Theoretical and practical problems in feature-based registration. - Michal Sofka (2008)

Vascular Tree Construction with Anatomical Realism for Retinal Images. - Kai-Shung Lin; Chia-Ling Tsai; Michal Sofka; Chih-Hsiangng Tsai; Shih-Jen Chen; Wei-Yang Lin (BIBE, 2009)

Multiple object detection by sequential monte carlo and Hierarchical Detection Network. - Michal Sofka; Jingdan Zhang; Shaohua Kevin Zhou; Dorin Comaniciu (CVPR, 2010)

Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans. - Michal Sofka; Charles V. Stewart (Medical Image Anal., 2010)

Fast boosting trees for classification, pose detection, and boundary detection on a GPU. - Neil Birkbeck; Michal Sofka; Shaohua Kevin Zhou (CVPR Workshops, 2011)

Integrated Detection Network (IDN) for pose and boundary estimation in medical images. - Michal Sofka; Kristof Ralovich; Neil Birkbeck; Jingdan Zhang; Shaohua Kevin Zhou (ISBI, 2011)

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. - Timo Kohlberger; Michal Sofka; Jingdan Zhang; Neil Birkbeck; Jens Wetzl; Jens N. Kaftan; Jérôme Declerck; Shaohua Kevin Zhou (MICCAI (3), 2011)

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. - Michal Sofka; Jens Wetzl; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Jens N. Kaftan; Jérôme Declerck; Shaohua Kevin Zhou (MICCAI (3), 2011)

Automatic Contrast Phase Estimation in CT Volumes. - Michal Sofka; Dijia Wu; Michael Sühling; David Liu 001; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (MICCAI (3), 2011)

Retinal Vascular Tree Reconstruction With Anatomical Realism. - Kai-Shung Lin; Chia-Ling Tsai; Chih-Hsiangng Tsai; Michal Sofka; Shih-Jen Chen; Wei-Yang Lin (IEEE Trans. Biomed. Eng., 2012)

Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images. - Dirk Breitenreicher; Michal Sofka; Stefan Britzen; Shaohua Kevin Zhou (IPMI, 2013)

A splice-guided data driven interactive editing. - Noha El-Zehiry; Marie-Pierre Jolly; Michal Sofka (ISBI, 2013)

IntellEditS: Intelligent Learning-Based Editor of Segmentations. - Adam P. Harrison; Neil Birkbeck; Michal Sofka (MICCAI (3), 2013)

Automatic Nuchal Translucency Measurement from Ultrasonography. - Jin Hyeong Park; Michal Sofka; SunMi Lee; Daeyoung Kim; Shaohua Kevin Zhou (MICCAI (3), 2013)

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. - Neil Birkbeck; Timo Kohlberger; Jingdan Zhang; Michal Sofka; Jens N. Kaftan; Dorin Comaniciu; Shaohua Kevin Zhou (MICCAI (1), 2014)

Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. - Dijia Wu; Michal Sofka; Neil Birkbeck; Shaohua Kevin Zhou (MICCAI (1), 2014)

Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN). - Michal Sofka; Jingdan Zhang; Sara Good; Shaohua Kevin Zhou; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2014)

Robust Representation for Domain Adaptation in Network Security. - Karel Bartos; Michal Sofka (ECML/PKDD (3), 2015)

Learning Detector of Malicious Network Traffic from Weak Labels. - Vojtech Franc; Michal Sofka; Karel Bartos (ECML/PKDD (3), 2015)

Learning Invariant Representation for Malicious Network Traffic Detection. - Karel Bartos; Michal Sofka; Vojtech Franc (ECAI, 2016)

Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. - Karel Bartos; Michal Sofka; Vojtech Franc (USENIX Security Symposium, 2016)

Integrating Statistical Prior Knowledge into Convolutional Neural Networks. - Fausto Milletari; Alex Rothberg; Jimmy Jia; Michal Sofka (MICCAI (1), 2017)

Fully Convolutional Regression Network for Accurate Detection of Measurement Points. - Michal Sofka; Fausto Milletari; Jimmy Jia; Alex Rothberg (DLMIA/ML-CDS@MICCAI, 2017)

Learning detectors of malicious web requests for intrusion detection in network traffic. - Lukás Machlica; Karel Bartos; Michal Sofka (CoRR, 2017)

Learning data discretization via convex optimization. - Vojtech Franc; Ondrej Fikar; Karel Bartos; Michal Sofka (Mach. Learn., 2018)

Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound. - Fausto Milletari; Vighnesh Birodkar; Michal Sofka (SUSI/PIPPI@MICCAI, 2019)

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. - Jo Schlemper; Seyed Sadegh Mohseni Salehi; Prantik Kundu; Carole Lazarus; Hadrien Dyvorne; Daniel Rueckert; Michal Sofka (MICCAI (3), 2019)

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration. - Neel Dey; Jo Schlemper; Seyed Sadegh Mohseni Salehi; Bo Zhou 009; Guido Gerig; Michal Sofka (MICCAI (6), 2022)

Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. - Bo Zhou 009; Jo Schlemper; Neel Dey; Seyed Sadegh Mohseni Salehi; Kevin N. Sheth; Chi Liu 001; James S. Duncan; Michal Sofka (Medical Image Anal., 2022)

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. - Bo Zhou 009; Neel Dey; Jo Schlemper; Seyed Sadegh Mohseni Salehi; Chi Liu 001; James S. Duncan; Michal Sofka (WACV, 2023)