Image fusion of ultrasound and MRI as an aid for assessing anatomical shifts and improving overview and interpretation in ultrasound-guided neurosurgery. - Frank Lindseth; Steinar Ommedal; Jon Bang; Geirmund Unsgård; Toril A. Nagelhus Hernes (CARS, 2001)

Minimal invasive abdominal surgery based on ultrasound vision, possible? - Ela Sjolie; Jon H. Kaspersen; Jarlis Wesche; Frank Lindseth; Toril A. Nagelhus Hernes (CARS, 2001)

Clinical validation of vessel-based registration for correction of brain-shift. - Ingerid Reinertsen; Frank Lindseth; Geirmund Unsgård; D. Louis Collins (Medical Image Anal., 2007)

Designing tracking software for image-guided surgery applications: IGSTK experience. - Andinet Enquobahrie; David Gobbi; Matthew W. Turek; Patrick Cheng; Ziv Yaniv; Frank Lindseth; Kevin Cleary (Int. J. Comput. Assist. Radiol. Surg., 2008)

Towards an efficient methodology for evaluation of quality of experience in Augmented Reality. - Jordi Puig; Andrew Perkis; Frank Lindseth; Touradj Ebrahimi (QoMEX, 2012)

A new system for 3D ultrasound-guided placement of cerebral ventricle catheters. - Ingerid Reinertsen; Asgeir S. Jakola; P. Friderichsen; Frank Lindseth; Ole Solheim; Tormod Selbekk; Geirmund Unsgård (Int. J. Comput. Assist. Radiol. Surg., 2012)

Model-Guided Placement of Cerebral Ventricular Catheters. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Geirmund Unsgård (IPCAI, 2013)

Validation of a non-rigid registration method for motion compensation in 4D ultrasound of the liver. - Sinara Vijayan; Stefan Klein 001; Erlend Fagertun Hofstad; Frank Lindseth; Brynjulf Ystgaard; Thomas Langø (ISBI, 2013)

Placement of External Ventricular Drains Using an Average Model. - Ingerid Reinertsen; Asgeir S. Jakola; Ole Solheim; Frank Lindseth; Tormod Selbekk; G. Unsgaard (CLIP, 2013)

Model-Based Correction of Velocity Measurements in Navigated 3-D Ultrasound Imaging During Neurosurgical Interventions. - Daniel Høyer Iversen; Frank Lindseth; Geirmund Unsgård; Hans Torp; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2013)

Virtual Operating Room for Collaborative Training of Surgical Nurses. - Nils Fredrik Kleven; Ekaterina Prasolova-Førland; Mikhail Fominykh; Arne Hansen; Guri Rasmussen; Lisa Millgård Sagberg; Frank Lindseth (CRIWG, 2014)

A New Tube Detection Filter for Abdominal Aortic Aneurysms. - Erik Smistad; Reidar Brekken; Frank Lindseth (ABDI@MICCAI, 2014)

Training nurses and educating the public using a virtual operating room with Oculus Rift. - Nils Fredrik Kleven; Ekaterina Prasolova-Førland; Mikhail Fominykh; Arne Hansen; Guri Rasmussen; Lisa Millgård Sagberg; Frank Lindseth (VSMM, 2014)

GPU accelerated segmentation and centerline extraction of tubular structures from medical images. - Erik Smistad; Anne C. Elster; Frank Lindseth (Int. J. Comput. Assist. Radiol. Surg., 2014)

Automatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocks. - Frank Lindseth; Linda Leidig; Erik Smistad (VCBM, 2015)

GPU-based multi-volume ray casting within VTK for medical applications. - Mohammadmehdi Bozorgi; Frank Lindseth (Int. J. Comput. Assist. Radiol. Surg., 2015)

FAST: framework for heterogeneous medical image computing and visualization. - Erik Smistad; Mohammadmehdi Bozorgi; Frank Lindseth (Int. J. Comput. Assist. Radiol. Surg., 2015)

Real-time gradient vector flow on GPUs using OpenCL. - Erik Smistad; Anne C. Elster; Frank Lindseth (J. Real Time Image Process., 2015)

Medical image segmentation on GPUs - A comprehensive review. - Erik Smistad; Thomas L. Falch; Mohammadmehdi Bozorgi; Anne C. Elster; Frank Lindseth (Medical Image Anal., 2015)

CustusX: an open-source research platform for image-guided therapy. - Christian Askeland; Ole Vegard Solberg; Janne Beate Lervik Bakeng; Ingerid Reinertsen; Geir Arne Tangen; Erlend Fagertun Hofstad; Daniel Høyer Iversen; Cecilie Våpenstad; Tormod Selbekk; Thomas Langø; Toril A. Nagelhus Hernes; Håkon Olav Leira; et al. (Int. J. Comput. Assist. Radiol. Surg., 2016)

Multigrid gradient vector flow computation on the GPU. - Erik Smistad; Frank Lindseth (J. Real Time Image Process., 2016)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve. - Erik Smistad; Frank Lindseth (IEEE Trans. Medical Imaging, 2016)

Simulation and Visualization of the Positioning System of the Brain in Virtual Reality. - Ekaterina Prasolova-Førland; Henrik Hjelle; Hege Tunstad; Frank Lindseth (J. Comput., 2017)

Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform. - Javier Pérez de Frutos; Erlend Fagertun Hofstad; Ole Vegard Solberg; Geir Arne Tangen; Frank Lindseth; Thomas Langø; Ole Jakob Elle; Ronald Mårvik (Int. J. Comput. Assist. Radiol. Surg., 2018)

Cross Modality Guided Liver Image Enhancement of CT Using MRI. - Rabia Naseem; Faouzi Alaya Cheikh; Azeddine Beghdadi; Ole Jakob Elle; Frank Lindseth (EUVIP, 2019)

Color Calibration on Human Skin Images. - Mahdi Amani; Håvard Falk; Oliver Damsgaard Jensen; Gunnar Vartdal; Anders Aune; Frank Lindseth (ICVS, 2019)

DeepPrivacy: A Generative Adversarial Network for Face Anonymization. - Håkon Hukkelås; Rudolf Mester; Frank Lindseth (ISVC (1), 2019)

Multimodal 3D Object Detection from Simulated Pretraining. - Åsmund Brekke; Fredrik Vatsendvik; Frank Lindseth (NAIS, 2019)

Autonomous Vehicle Control: End-to-End Learning in Simulated Urban Environments. - Hege Haavaldsen; Max Aasbø; Frank Lindseth (NAIS, 2019)

Autonomous Vehicle Control: End-to-end Learning in Simulated Environments. - Hege Haavaldsen; Max Aasbø; Frank Lindseth; Håkon Hukkelås (NIK, 2019)

Autonomous Driving in Simulation using Domain-Independent Perception. - Audun Wigum Arbo; Even Dalen; Frank Lindseth (CVCS, 2020)

Capsule Nets for Complex Medical Image Segmentation Tasks. - Shanmugapriya Survarachakan; Jenny Stange Johansen; Mathias Aarseth Pedersen; Mahdi Amani; Frank Lindseth (CVCS, 2020)

Image Inpainting with Learnable Feature Imputation. - Håkon Hukkelås; Frank Lindseth; Rudolf Mester (GCPR, 2020)

Making Use of Virtual Reality for Artificial Intelligence Education. - Sølve Robert Bø Hunvik; Frank Lindseth (HELMeTO, 2020)

Modifying U-Net for small dataset: a simplified U-Net version for liver parenchyma segmentation. - Pravda Jith Ray Prasad; Ole Jakob Elle; Frank Lindseth; Fritz Albregtsen; Rahul Prasanna Kumar (Computer-Aided Diagnosis, 2021)

Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation. - Vemund Fredriksen; Svein Ole M. Svele; André Pedersen; Thomas Langø; Gabriel Kiss; Frank Lindseth (CoRR, 2021)

Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks. - Muhammad Sarmad; Leonardo Ruspini; Frank Lindseth (NLDL, 2022)

Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions. - Shanmugapriya Survarachakan; Pravda Jith Ray Prasad; Rabia Naseem; Javier Pérez de Frutos; Rahul Prasanna Kumar; Thomas Langø; Faouzi Alaya Cheikh; Ole Jakob Elle; Frank Lindseth (Artif. Intell. Medicine, 2022)

Train smarter, not harder: learning deep abdominal CT registration on scarce data. - Javier Pérez de Frutos; André Pedersen; Egidijus Pelanis; David Bouget; Shanmugapriya Survarachakan; Thomas Langø; Ole Jakob Elle; Frank Lindseth (CoRR, 2022)

Does Image Anonymization Impact Computer Vision Training? - Håkon Hukkelås; Frank Lindseth (CVPR Workshops, 2023)

FullFormer: Generating Shapes Inside Shapes. - Tejaswini Medi; Jawad Tayyub; Muhammad Sarmad; Frank Lindseth; Margret Keuper (DAGM, 2023)

Layer Height Estimation Using Laser Line Scanners for Closed-Loop Directed Energy Deposition. - Salar Adel; Eirik B. Njaastad; Mathias Hauan Arbo; Frank Lindseth (ICCMA, 2023)

DeepPrivacy2: Towards Realistic Full-Body Anonymization. - Håkon Hukkelås; Frank Lindseth (WACV, 2023)

Realistic Full-Body Anonymization with Surface-Guided GANs. - Håkon Hukkelås; Morten Smebye; Rudolf Mester; Frank Lindseth (WACV, 2023)

SIT-SR 3D: Self-supervised slice interpolation via transfer learning for 3D volume super-resolution. - Muhammad Sarmad; Leonardo Ruspini; Frank Lindseth (Pattern Recognit. Lett., 2023)

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings. - Anders Austlid Taskén; Erik Andreas Rye Berg; Bjørnar Leangen Grenne; Espen Holte; Håvard Dalen; Stian Stølen; Frank Lindseth; Svend Aakhus; Gabriel Kiss (Artif. Intell. Medicine, 2023)

Dynamic Insights: Well-being Activity Infused Fine-Tuning of Large Language Models. - Hamza Haruna Mohammed; Gabriel Kiss; J. Artur Serrano; Frank Lindseth (IEEE Big Data, 2024)

A Pole Detection and Geospatial Localization Framework using LiDAR-GNSS Data Fusion. - Durga Prasad Bavirisetti; Gabriel Hansen Kiss; Frank Lindseth (FUSION, 2024)

Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. - Oluwaleke Yusuf; Adil Rasheed; Frank Lindseth; Martin Slaastuen (ICCAD, 2024)

Synthesizing Anyone, Anywhere, in Any Pose. - Håkon Hukkelås; Frank Lindseth (WACV, 2024)

QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation. - Andreas Hammer Håversen; Durga Prasad Bavirisetti; Gabriel Kiss; Frank Lindseth (IEEE Access, 2024)

Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks. - Mamoona Birkhez Shami; Gabriel Kiss; Trond Arve Haakonsen; Frank Lindseth (CoRR, 2024)

Exploring Urban Mobility Trends using Cellular Network Data. - Oluwaleke Yusuf; Adil Rasheed; Frank Lindseth (CoRR, 2024)

Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU. - Matias Gran-Henriksen; Hans Andreas Lindgaard; Gabriel Kiss; Frank Lindseth (CoRR, 2024)

SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation. - Sachin Verma; Frank Lindseth; Gabriel Kiss (WACV, 2025)

Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving. - Florian Wintel; Sigmund H. Høeg; Gabriel Kiss; Frank Lindseth (CoRR, 2025)