M. Sofka

发表

Integrated Detection Network for Multiple Object Recognition

M. Sofka, 2016 .

Automatic Contrast Phase Estimation in CT Volumes

Shaohua Kevin Zhou, Dijia Wu, Christian Tietjen, 2011, MICCAI.

Progressive data transmission for anatomical landmark detection in a cloud.

M Sofka, K Ralovich, J Zhang, 2012, Methods of information in medicine.

A Correspondence-Based Software Toolkit for Image Registration

Chia-Ling Tsai, A. G. Amitha Perera, Charles V. Stewart, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration

G. Gerig, Jo Schlemper, M. Sofka, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction

Seyed Sadegh Mohseni Salehi, J. Duncan, J. Duncan, 2022, Medical Image Anal..

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

J. Duncan, Jo Schlemper, Chi Liu, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations

Charles V. Stewart, Michal Sofka, Avi Kelman, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Vascular Tree Construction with Anatomical Realism for Retinal Images

Chia-Ling Tsai, Shih-Jen Chen, Wei-Yang Lin, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

T E Xt oHTML Translation via Tagged DVI Files

Michael D. Sofka, M. Sofka, 1998 .

Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures

Charles V. Stewart, Michal Sofka, C. Stewart, 2006, IEEE Transactions on Medical Imaging.

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints

Timo Kohlberger, Dorin Comaniciu, Shaohua Kevin Zhou, 2014, MICCAI.

Location registration and recognition (LRR) for serial analysis of nodules in lung CT scans

Charles V. Stewart, Michal Sofka, C. Stewart, 2010, Medical Image Anal..

Bedside detection of intracranial midline shift using portable magnetic resonance imaging

Jennifer A. Kim, Matthew M. Yuen, L. Sacolick, 2022, Scientific reports.

Fully Convolutional Regression Network for Accurate Detection of Measurement Points

Fausto Milletari, Michal Sofka, Alex Rothberg, 2017, DLMIA/ML-CDS@MICCAI.

Registration of Challenging Image Pairs: Initialization, Estimation, and Decision

Chia-Ling Tsai, Charles V. Stewart, Michal Sofka, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Studying E-Mail Graphs for Intelligence Monitoring and Analysis in the Absence of Semantic Information

Petros Drineas, Bülent Yener, Mukkai S. Krishnamoorthy, 2004, ISI.

Straight to the point: reinforcement learning for user guidance in ultrasound pdf

Fausto Milletari, Michal Sofka, Vighnesh Birodkar, 2019, SUSI/PIPPI@MICCAI.

Point-of-Care MRI with Artificial Intelligence to Measure Midline Shift in Acute Stroke Follow-Up

Seyed Sadegh Mohseni Salehi, Matthew M. Yuen, J. Rothberg, 2022, medRxiv.

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction

Daniel Rueckert, Jo Schlemper, Michal Sofka, 2019, MICCAI.

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization

Timo Kohlberger, Shaohua Kevin Zhou, Jens Wetzl, 2011, MICCAI.

Integrating Statistical Prior Knowledge into Convolutional Neural Networks

Fausto Milletari, Michal Sofka, Alex Rothberg, 2017, MICCAI.

Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN)

Dorin Comaniciu, Shaohua Kevin Zhou, Jingdan Zhang, 2014, IEEE Transactions on Medical Imaging.

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes

Timo Kohlberger, Shaohua Kevin Zhou, Jens Wetzl, 2011, MICCAI.

Malware Detection by HTTPS Traffic Analysis

Tobias Scheffer, Michal Sofka, Tomas Pevny, 2017 .

Learning detectors of malicious web requests for intrusion detection in network traffic pdf

Karel Bartos, Lukás Machlica, Michal Sofka, 2017, ArXiv.

Learning data discretization via convex optimization

Karel Bartos, Vojtech Franc, Michal Sofka, 2018, Machine Learning.

Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants

Karel Bartos, Vojtech Franc, Michal Sofka, 2016, USENIX Security Symposium.

Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

Seyed Sadegh Mohseni Salehi, J. Duncan, Jo Schlemper, 2023, ArXiv.

Commentary Paper 2 on "On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection'"

Michal Sofka, M. Sofka, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images

Shaohua Kevin Zhou, Michal Sofka, Dirk Breitenreicher, 2013, IPMI.

Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework

Charles V. Stewart, Michal Sofka, Gehua Yang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Automated Retinal Image Analysis Over the Internet

Matthew J. Leotta, C. Stewart, H. Tanenbaum, 2008, IEEE Transactions on Information Technology in Biomedicine.

Automatic robust image registration system: Initialization, estimation, and decision

Chia-Ling Tsai, Charles V. Stewart, Michal Sofka, 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).