Erik Smistad

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Vessel Detection

Computed Tomography Scans

Convolutional Network

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

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, Hanne Sorger
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. CoRR (2024)
Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Håvard Dalen, Lasse Løvstakken, Erik Smistad
Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. IEEE Access 12 (2024)
Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Håvard Dalen, Lasse Løvstakken, Erik Smistad
Towards Robust Cardiac Segmentation using Graph Convolutional Networks. CoRR (2023)
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
Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. CoRR (2023)
Andreas Østvik, Ivar Mjåland Salte, Erik Smistad, Thuy Mi Nguyen, Daniela Melichova, Harald Brunvand, Kristina Haugaa, Thor Edvardsen, Bjørnar Grenne, Lasse Løvstakken
Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Trans. Medical Imaging 40 (5) (2021)
Erik Smistad
FAST: A framework for high-performance medical image computing and visualization. IWOCL (2021)
André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. IEEE Access 9 (2021)
André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR (2021)
Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen
Code-free development and deployment of deep segmentation models for digital pathology. CoRR (2021)
André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. CoRR (2020)
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
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR (2020)
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, Lasse Løvstakken, Olivier Bernard
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38 (9) (2019)
Erik Smistad, Andreas Østvik, André Pedersen
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access 7 (2019)
Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. DLMIA/ML-CDS@MICCAI (2018)
Erik Smistad, Frank Lindseth
Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve. IEEE Trans. Medical Imaging 35 (3) (2016)
Erik Smistad, Frank Lindseth
Multigrid gradient vector flow computation on the GPU. J. Real Time Image Process. 12 (3) (2016)
Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35 (4) (2016)
Erik Smistad, Lasse Løvstakken
Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks. LABELS/DLMIA@MICCAI (2016)
Frank Lindseth, Linda Leidig, Erik Smistad
Automatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocks. VCBM (2015)
Erik Smistad, Anne C. Elster, Frank Lindseth
Real-time gradient vector flow on GPUs using OpenCL. J. Real Time Image Process. 10 (1) (2015)
Erik Smistad, Mohammadmehdi Bozorgi, Frank Lindseth
FAST: framework for heterogeneous medical image computing and visualization. Int. J. Comput. Assist. Radiol. Surg. 10 (11) (2015)
Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi, Anne C. Elster, Frank Lindseth
Medical image segmentation on GPUs - A comprehensive review. Medical Image Anal. 20 (1) (2015)
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, Raúl San José Estépar, James C. Ross, George R. Washko, Juan-Carlos Prieto, Marcela Hernández Hoyos, Maciej Orkisz, Hans Meine, Markus Hüllebrand, Christina Stöcker, Fernando López-Mir, Valery Naranjo, Eliseo Villanueva, Marius Staring, Changyan Xiao, Berend C. Stoel, Anna Fabijanska, Erik Smistad
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. 18 (7) (2014)
Erik Smistad, Anne C. Elster, Frank Lindseth
GPU accelerated segmentation and centerline extraction of tubular structures from medical images. Int. J. Comput. Assist. Radiol. Surg. 9 (4) (2014)
Erik Smistad, Reidar Brekken, Frank Lindseth
A New Tube Detection Filter for Abdominal Aortic Aneurysms. ABDI@MICCAI (2014)