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Computer Science

D-Index
34
Citations
4745
World Ranking
12210
National Ranking
40

Overview

Frank Lindseth is affiliated with the Norwegian University of Science and Technology in Norway. Their research spans multiple disciplines including Computer Science, Medicine, and Engineering, with a significant body of work in applied fields such as Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

The scientist's publications primarily focus on areas related to Computer Vision and Pattern Recognition, with substantial contributions also in Artificial Intelligence and Pulmonary and Respiratory Medicine. The topics covered in their research include Radiomics and Machine Learning in Medical Imaging, 3D Shape Modeling and Analysis, Face recognition and analysis, as well as applications of Generative Adversarial Networks and Image Synthesis.

Recent papers by Frank Lindseth comprise:

  • Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions, 2022, Artificial Intelligence in Medicine
  • DeepPrivacy2: Towards Realistic Full-Body Anonymization, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Automatic segmentation tool for 3D digital rocks by deep learning, 2021, Scientific Reports
  • Effects of Enhancement on Deep Learning Based Hepatic Vessel Segmentation, 2021, Electronics
  • Size-invariant 3D generation from a single 2D rock image, 2022, Journal of Petroleum Science and Engineering

Frequent co-authors working alongside Frank Lindseth include Gabriel Kiss, Håkon Hukkelås, Shanmugapriya Survarachakan, and Thomas Langø. These collaborations appear prominently across multiple publications.

The scientist consistently publishes in these venues:

  • arXiv (Cornell University)
  • PLoS ONE
  • Scientific Reports
  • Artificial Intelligence in Medicine
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Frank Lindseth's research program notably integrates advanced neural network applications with practical medical imaging challenges, encompassing AI in cancer detection and medical image segmentation techniques. Their work bridges theoretical and applied aspects of computer vision, imaging technologies, and machine learning methodologies with implications across both medical and engineering sciences.

Best Publications

  • A review of calibration techniques for freehand 3-D ultrasound systems.

    Laurence Mercier;Thomas Langø;Frank Lindseth;D. Louis Collins

  • SonoWand, an ultrasound-based neuronavigation system.

    Aage Gronningsaeter;Atle Kleven;Steinar Ommedal;Tore Erling Aarseth

  • Medical image segmentation on GPUs – A comprehensive review

    Erik Smistad;Erik Smistad;Thomas L. Falch;Mohammadmehdi Bozorgi;Anne C. Elster

  • Freehand 3D Ultrasound Reconstruction Algorithms—A Review

    Ole Vegard Solberg;Ole Vegard Solberg;Frank Lindseth;Hans Torp;Richard E. Blake

  • Functional neuronavigation combined with intra-operative 3D ultrasound: Initial experiences during surgical resections close to eloquent brain areas and future directions in automatic brain shift compensation of preoperative data

    I.-A. Rasmussen;F. Lindseth;O. M. Rygh;E. M. Berntsen

  • Ultrasound imaging in neurosurgery: approaches to minimize surgically induced image artefacts for improved resection control

    Tormod Selbekk;Tormod Selbekk;Asgeir Store Jakola;Ole Solheim;Tonni Franke Johansen;Tonni Franke Johansen

  • DeepPrivacy: A Generative Adversarial Network for Face Anonymization

    Håkon Hukkelås;Rudolf Mester;Frank Lindseth

  • Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Rina D. Rudyanto;Sjoerd Kerkstra;Eva M. van Rikxoort;Catalin Fetita

  • Accuracy evaluation of a 3D ultrasound-based neuronavigation system

    Frank Lindseth;Thomas Langø;Thomas Langø;Jon Bang;Toril A Nagelhus Hernes

  • Probe calibration for freehand 3-D ultrasound.

    Frank Lindseth;Geir Arne Tangen;Thomas Langø;Jon Bang

  • Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

    Olivier Bernard;Johan G. Bosch;Brecht Heyde;Martino Alessandrini

  • The Image-Guided Surgery Toolkit IGSTK: An Open Source C++ Software Toolkit

    Andinet Enquobahrie;Patrick Cheng;Kevin Gary;Luis Ibanez

  • A review of calibration techniques for freehand 3-D ultrasound systems

    Unknown

  • Multimodal image fusion in ultrasound-based neuronavigation: improving overview and interpretation by integrating preoperative MRI with intraoperative 3D ultrasound.

    Frank Lindseth;Jon Harald Kaspersen;Steinar Ommedal;Thomas Langø

  • CustusX: an open-source research platform for image-guided therapy

    Christian Askeland;Ole Vegard Solberg;Janne Beate Lervik Bakeng;Ingerid Reinertsen

  • Clinical validation of vessel-based registration for correction of brain-shift.

    I. Reinertsen;F. Lindseth;G. Unsgaard;D.L. Collins

  • Intra-operative correction of brain-shift

    Ingerid Reinertsen;Ingerid Reinertsen;Frank Lindseth;Frank Lindseth;Christian Askeland;Daniel Høyer Iversen

  • Operation of arteriovenous malformations assisted by stereoscopic navigation-controlled display of preoperative magnetic resonance angiography and intraoperative ultrasound angiography.

    Geirmund Unsgaard;Steinar Ommedal;Ola M Rygh;Frank Lindseth

  • GPU accelerated segmentation and centerline extraction of tubular structures from medical images.

    Erik Smistad;Anne C. Elster;Frank Lindseth;Frank Lindseth

  • Three-dimensional ultrasound-based navigation combined with preoperative CT during abdominal interventions: a feasibility study.

    J.H. Kaspersen;E. Sjølie;J. Wesche;J. Åsland

  • Accuracy Evaluation of a 3D Ultrasound-Based Neuronavigation System

    Unknown

  • The Image-Guided Surgery ToolKit IGSTK: an open source C++ software toolkit

    Peng Cheng;Luis Ibanez;David Gobbi;Kevin Gary

Frequent Co-Authors

Hans Torp
Hans Torp Norwegian University of Science and Technology
Kevin Cleary
Kevin Cleary Children’s National Health System
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Jianming Liang
Jianming Liang Arizona State University
Marius Staring
Marius Staring Leiden University Medical Center
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
Bram van Ginneken
Bram van Ginneken Radboud University
Asta Håberg
Asta Håberg Norwegian University of Science and Technology
Ozan Oktay
Ozan Oktay Imperial College London

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