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

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. - Rina Dewi Rudyanto; Sjoerd Kerkstra; Eva M. van Rikxoort; Catalin I. Fetita; Pierre-Yves Brillet; Christophe Lefevre; Wenzhe Xue; Xiangjun Zhu; Jianming Liang; Ilkay Öksüz; Devrim Ünay; Kamuran Kadipasaoglu; et al. (Medical Image Anal., 2014)

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

Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks. - Erik Smistad; Lasse Løvstakken (LABELS/DLMIA@MICCAI, 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)

Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. - Andreas Østvik; Erik Smistad; Torvald Espeland; Erik Andreas Rye Berg; Lasse Løvstakken (DLMIA/ML-CDS@MICCAI, 2018)

High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. - Erik Smistad; Andreas Østvik; André Pedersen (IEEE Access, 2019)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - Sarah Leclerc; Erik Smistad; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Thomas Grenier; Carole Lartizien; Pierre-Marc Jodoin; Lasse Løvstakken; Olivier Bernard 001 (CoRR, 2020)

FAST: A framework for high-performance medical image computing and visualization. - Erik Smistad (IWOCL, 2021)

FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. - André Pedersen; Marit Valla; Anna M. Bofin; Javier Pérez de Frutos; Ingerid Reinertsen; Erik Smistad (IEEE Access, 2021)

Code-free development and deployment of deep segmentation models for digital pathology. - Henrik Sahlin Pettersen; Ilya Belevich; Elin Synnøve Røyset; Erik Smistad; Eija Jokitalo; Ingerid Reinertsen; Ingunn Bakke; André Pedersen (CoRR, 2021)

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. - André Pedersen; Erik Smistad; Tor V. Rise; Vibeke G. Dale; Henrik Sahlin Pettersen; Tor-Arne S. Nordmo; David Bouget; Ingerid Reinertsen; Marit Valla (CoRR, 2021)

Myocardial Function Imaging in Echocardiography Using Deep Learning. - Andreas Østvik; Ivar Mjåland Salte; Erik Smistad; Thuy Mi Nguyen; Daniela Melichova; Harald Brunvand; Kristina Haugaa; Thor Edvardsen; Bjørnar Leangen Grenne; Lasse Løvstakken (IEEE Trans. Medical Imaging, 2021)

Towards Robust Cardiac Segmentation using Graph Convolutional Networks. - Gilles Van De Vyver; Sarina Thomas; Guy Ben-Yosef; Sindre Hellum Olaisen; Håvard Dalen; Lasse Løvstakken; Erik Smistad (CoRR, 2023)

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. - Maren Høibø; André Pedersen; Vibeke Grotnes Dale; Sissel Marie Berget; Borgny Ytterhus; Cecilia Lindskog; Elisabeth Wik; Lars A. Akslen; Ingerid Reinertsen; Erik Smistad; Marit Valla (CoRR, 2023)

Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. - Gilles Van De Vyver; Sarina Thomas; Guy Ben-Yosef; Sindre Hellum Olaisen; Håvard Dalen; Lasse Løvstakken; Erik Smistad (IEEE Access, 2024)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. - Soroush Oskouei; Marit Valla; André Pedersen; Erik Smistad; Vibeke Grotnes Dale; Maren Høibø; Sissel Gyrid Freim Wahl; Mats Dehli Haugum; Thomas Langø; Maria Paula Ramnefjell; Lars Andreas Akslen; Gabriel Kiss; et al. (CoRR, 2024)

Regional quality estimation for echocardiography using deep learning. - Gilles Van De Vyver; Svein-Erik Måsøy; Håvard Dalen; Bjørnar Leangen Grenne; Espen Holte; Sindre Hellum Olaisen; John Nyberg; Andreas Østvik; Lasse Løvstakken; Erik Smistad (CoRR, 2024)

Generative augmentations for improved cardiac ultrasound segmentation using diffusion models. - Gilles Van De Vyver; Aksel Try Lenz; Erik Smistad; Sindre Hellum Olaisen; Bjørnar Leangen Grenne; Espen Holte; Håvard Dalen; Lasse Løvstakken (CoRR, 2025)