Erik Smistad - RankMe

29 papers Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative augmentations for improved cardiac ultrasound segmentation using diffusion models. CoRR Gilles Van De Vyver, Aksel Try Lenz, Erik Smistad, Sindre Hellum Olaisen, Bjørnar Leangen Grenne, Espen Holte, Håvard Dalen, Lasse Løvstakken
2025	J	`jnl`	Lightweight image segmentation for echocardiography. CoRR Anders Kjelsrud, Lasse Løvstakken, Erik Smistad, Håvard Dalen, Gilles Van De Vyver
2025	J	`jnl`	Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. J. Imaging 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
2024	J	`jnl`	Regional quality estimation for echocardiography using deep learning. CoRR 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
2024	J	`jnl`	Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion. CoRR 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
2024	J	`jnl`	Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. IEEE Access Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Håvard Dalen, Lasse Løvstakken, Erik Smistad
2023	J	`jnl`	Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. CoRR 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
2023	J	`jnl`	Towards Robust Cardiac Segmentation using Graph Convolutional Networks. CoRR Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Håvard Dalen, Lasse Løvstakken, Erik Smistad
2021	J	`jnl`	Code-free development and deployment of deep segmentation models for digital pathology. CoRR Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen
2021	—	`conf`	FAST: A framework for high-performance medical image computing and visualization. IWOCL Erik Smistad
2021	J	`jnl`	FastPathology: An Open-Source Platform for Deep Learning-Based Research and Decision Support in Digital Pathology. IEEE Access André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2021	J	`jnl`	Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images. CoRR André Pedersen, Erik Smistad, Tor V. Rise, Vibeke G. Dale, Henrik Sahlin Pettersen, Tor-Arne S. Nordmo, David Bouget, Ingerid Reinertsen, Marit Valla
2021	J	`jnl`	Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Trans. Medical Imaging Andreas Østvik, Ivar Mjåland Salte, Erik Smistad, Thuy Mi Nguyen, Daniela Melichova, Harald Brunvand, Kristina Haugaa, Thor Edvardsen, Bjørnar Leangen Grenne, Lasse Løvstakken
2020	J	`jnl`	FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. CoRR André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
2020	J	`jnl`	LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR 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
2019	J	`jnl`	Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 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
2019	J	`jnl`	High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access Erik Smistad, Andreas Østvik, André Pedersen
2018	—	`conf`	Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. DLMIA/ML-CDS@MICCAI Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken
2016	J	`jnl`	Multigrid gradient vector flow computation on the GPU. J. Real Time Image Process. Erik Smistad, Frank Lindseth
2016	J	`jnl`	Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve. IEEE Trans. Medical Imaging Erik Smistad, Frank Lindseth
2016	J	`jnl`	Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 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
2016	—	`conf`	Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks. LABELS/DLMIA@MICCAI Erik Smistad, Lasse Løvstakken
2015	—	`conf`	Automatic Real-time Annotation of Important Landmarks in Ultrasound-Guided Femoral Nerve Blocks. VCBM Frank Lindseth, Linda Leidig, Erik Smistad
2015	J	`jnl`	FAST: framework for heterogeneous medical image computing and visualization. Int. J. Comput. Assist. Radiol. Surg. Erik Smistad, Mohammadmehdi Bozorgi, Frank Lindseth
2015	J	`jnl`	Medical image segmentation on GPUs - A comprehensive review. Medical Image Anal. Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi, Anne C. Elster, Frank Lindseth
2015	J	`jnl`	Real-time gradient vector flow on GPUs using OpenCL. J. Real Time Image Process. Erik Smistad, Anne C. Elster, Frank Lindseth
2014	—	`conf`	A New Tube Detection Filter for Abdominal Aortic Aneurysms. ABDI@MICCAI Erik Smistad, Reidar Brekken, Frank Lindseth
2014	J	`jnl`	Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. 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
2014	J	`jnl`	GPU accelerated segmentation and centerline extraction of tubular structures from medical images. Int. J. Comput. Assist. Radiol. Surg. Erik Smistad, Anne C. Elster, Frank Lindseth