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2020 – today
- 2024
[c44]Chong Yin, Siqi Liu, Fei Lyu, Jiahao Lu, Sune Darkner, Vincent Wai-Sun Wong, Pong C. Yuen:
XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images. CVPR 2024: 11282-11291- [c43]Julius B. Kirkegaard, Nikolay Kutuzov, Rasmus Netterstrøm, Sune Darkner, Martin Johannes Lauritzen, François Lauze:
In Vivo Deep Learning Estimation of Diffusion Coefficients of Nanoparticles. MICCAI (2) 2024: 206-215 - [i21]Jon Sporring, Peidi Xu, Jiahao Lu, François Lauze, Sune Darkner:
Locally orderless networks. CoRR abs/2406.13514 (2024) - 2023
- [j16]Peidi Xu
, Torkan Gholamalizadeh, Faezeh Moshfeghifar, Sune Darkner, Kenny Erleben:
Deep-Learning-Based Segmentation of Individual Tooth and Bone With Periodontal Ligament Interface Details for Simulation Purposes. IEEE Access 11: 102460-102470 (2023) - [j15]Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, Kenny Erleben, Sune Darkner, Pong C. Yuen:
Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation. IEEE Trans. Medical Imaging 42(3): 797-809 (2023) - [c42]Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis. ISBI 2023: 1-5 - [c41]Peidi Xu, Blaire Lee, Olga V. Sosnovtseva, Charlotte Mehlin Sørensen, Kenny Erleben, Sune Darkner:
Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation. MILLanD@MICCAI 2023: 191-201 - [i20]Peidi Xu, Niels-Henrik Holstein-Rathlou, Stinne Byrholdt Søgaard, Carsten Gundlach, Charlotte Mehlin Sørensen, Kenny Erleben, Olga V. Sosnovtseva, Sune Darkner:
A Hybrid Approach to Full-Scale Reconstruction of Renal Arterial Network. CoRR abs/2303.01837 (2023) - [i19]Rasmus Netterstrøm, Nikolay Kutuzov, Sune Darkner, Maurits Jørring Pallesen, Martin Johannes Lauritzen, Kenny Erleben, François Lauze:
Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images. CoRR abs/2303.16903 (2023) - [i18]Abraham George Smith, Denis Kutnár, Ivan Richter Vogelius, Sune Darkner, Jens Petersen:
Localise to segment: crop to improve organ at risk segmentation accuracy. CoRR abs/2304.04606 (2023) - [i17]Peidi Xu, Olga V. Sosnovtseva, Charlotte Mehlin Sørensen, Kenny Erleben, Sune Darkner:
Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation. CoRR abs/2305.17054 (2023) - 2022
- [j14]Torkan Gholamalizadeh, Faezeh Moshfeghifar, Zachary Ferguson, Teseo Schneider, Daniele Panozzo, Sune Darkner, Masrour Makaremi, François Chan, Peter Lempel Søndergaard, Kenny Erleben:
Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw. Comput. Methods Programs Biomed. 224: 107009 (2022) - [j13]Faezeh Moshfeghifar, Torkan Gholamalizadeh, Zachary Ferguson, Teseo Schneider, Michael Bachmann Nielsen, Daniele Panozzo, Sune Darkner, Kenny Erleben:
LibHip: An open-access hip joint model repository suitable for finite element method simulation. Comput. Methods Programs Biomed. 226: 107140 (2022) - [j12]Jon Sporring, Sune Darkner:
Reconstructing Binary Signals from Local Histograms. Entropy 24(3): 433 (2022) - [j11]Jon Sporring, Sune Darkner:
An algebra for local histograms. Frontiers Comput. Sci. 4 (2022) - [j10]Henrik G. Jensen, François Lauze, Sune Darkner:
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images. J. Math. Imaging Vis. 64(1): 1-16 (2022) - [c40]Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott:
Revisiting Transformer-based Models for Long Document Classification. EMNLP (Findings) 2022: 7212-7230 - [c39]Renfei Liu, François Lauze, Erik J. Bekkers, Kenny Erleben, Sune Darkner:
Group Convolutional Neural Networks for DWI Segmentation. GeoMedIA 2022: 96-106 - [c38]Asger Meldgaard, Sune Darkner, Kenny Erleben:
Fast Vortex Particle Method for Fluid-Character Interaction. Graphics Interface 2022: 84-91 - [c37]Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. iMIMIC@MICCAI 2022: 33-43 - [c36]Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner:
Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning. MILLanD@MICCAI 2022: 153-162 - [i16]Faezeh Moshfeghifar, Max Kragballe Nielsen, José D. Tascón-Vidarte, Sune Darkner, Kenny Erleben:
A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility. CoRR abs/2203.10667 (2022) - [i15]Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott:
Revisiting Transformer-based Models for Long Document Classification. CoRR abs/2204.06683 (2022) - [i14]Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis. CoRR abs/2206.13608 (2022) - [i13]Torkan Gholamalizadeh, Sune Darkner, Peter Lempel Søndergaard, Kenny Erleben:
A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible. CoRR abs/2207.05681 (2022) - [i12]Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner:
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning. CoRR abs/2208.08226 (2022) - [i11]Torkan Gholamalizadeh, Faezeh Moshfeghifar, Zachary Ferguson, Teseo Schneider, Daniele Panozzo, Sune Darkner, Masrour Makaremi, François Chan, Peter Lempel Søndergaard, Kenny Erleben:
Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw. CoRR abs/2209.07576 (2022) - [i10]Jiahao Lu, Chong Yin, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis. CoRR abs/2210.16097 (2022) - 2021
- [j9]Susanne Claus, Pierre Kerfriden, Faezeh Moshfeghifar, Sune Darkner, Kenny Erleben, Christian Wong:
Contact modeling from images using cut finite element solvers. Adv. Model. Simul. Eng. Sci. 8(1): 13 (2021) - [j8]Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel:
U-Sleep: resilient high-frequency sleep staging. npj Digit. Medicine 4 (2021) - [j7]Paul Schreiner, Maksym Perepichka, Hayden Lewis, Sune Darkner, Paul G. Kry, Kenny Erleben, Victor B. Zordan:
Global Position Prediction for Interactive Motion Capture. Proc. ACM Comput. Graph. Interact. Tech. 4(3): 39:1-39:16 (2021) - [c35]Renfei Liu, François Lauze, Kenny Erleben, Sune Darkner:
Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning. CDMRI@MICCAI 2021: 121-132 - [c34]José D. Tascón-Vidarte, Isak Wahlstedt, Julien Jomier, Kenny Erleben, Ivan R. Vogelius, Sune Darkner:
Cine-MRI Simulation to Evaluate Tumor Tracking. SASHIMI@MICCAI 2021: 131-141 - [c33]Sune Darkner, José D. Tascón-Vidarte, François Lauze:
First Order Locally Orderless Registration. SSVM 2021: 177-188 - [i9]Abraham George Smith, Jens Petersen, Cynthia Terrones-Campos, Anne Kiil Berthelsen, Nora Jarrett Forbes, Sune Darkner, Lena Specht, Ivan Richter Vogelius:
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy. CoRR abs/2106.11942 (2021) - [i8]Sune Darkner, Jose D. Tascon, François Lauze:
First Order Locally Orderless Registration. CoRR abs/2108.04926 (2021) - 2020
- [i7]Torkan Gholamalizadeh, Sune Darkner, Paolo Maria Cattaneo, Peter Lempel Søndergaard, Kenny Erleben:
Mandibular Teeth Movement Variations in Tipping Scenario: A Finite Element Study on Several Patients. CoRR abs/2010.05258 (2020)
2010 – 2019
- 2019
- [c32]Fredrik Holsten, Morten Pol Engell-Nørregård, Sune Darkner, Kenny Erleben:
Data Driven Inverse Kinematics of Soft Robots using Local Models. ICRA 2019: 6251-6257 - [c31]Rune Kok Nielsen, Sune Darkner, Aasa Feragen:
TopAwaRe: Topology-Aware Registration. MICCAI (2) 2019: 364-372 - [c30]Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. NeurIPS 2019: 4417-4428 - [i6]Henrik Grønholt Jensen, François Lauze, Sune Darkner:
Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images. CoRR abs/1905.12056 (2019) - [i5]Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. CoRR abs/1910.11162 (2019) - 2018
- [j6]Sune Darkner, Akshay Pai, Matthew G. Liptrot, Jon Sporring:
Collocation for Diffeomorphic Deformations in Medical Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1570-1583 (2018) - [c29]Fredrik Holsten, Sune Darkner, Morten Pol Engell-Nørregård, Kenny Erleben:
Local Models for Data Driven Inverse Kinematics of Soft Robots. Symposium on Computer Animation (Posters) 2018: 7-8 - [i4]Sune Darkner, Stefan Sommer, Andreas Schuhmacher, Henrik Ingerslev Anders O. Baandrup, Carsten Thomsen, Søren Jønsson:
An Average of the Human Ear Canal: Recovering Acoustical Properties via Shape Analysis. CoRR abs/1811.03848 (2018) - 2017
- [i3]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR abs/1705.00432 (2017) - 2016
- [j5]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging 35(6): 1369-1380 (2016) - [c28]Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew G. Liptrot, Aasa Feragen:
Structural parcellation of the thalamus using shortest-path tractography. ISBI 2016: 559-563 - [c27]Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen:
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI 2016: 151-159 - [c26]Niklas Kasenburg, Morten Vester Pedersen, Sune Darkner:
Finding significantly connected voxels based on histograms of connection strengths. Medical Imaging: Image Processing 2016: 97843I - [c25]Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Medical Imaging: Image Processing 2016: 978406 - 2015
- [c24]Akshay Pai, Stefan Klein, Stefan Sommer, Sune Darkner, Jon Sporring, Mads Nielsen:
Diffeomorphic image registration with automatic time-step adjustment. ISBI 2015: 1085-1088 - [c23]Henrik G. Jensen, François Lauze, Mads Nielsen, Sune Darkner:
Locally Orderless Registration for Diffusion Weighted Images. MICCAI (2) 2015: 305-312 - [c22]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Medical Imaging: Image Processing 2015: 941335 - 2014
- [c21]Jon Sporring, Mahdieh Khanmohammadi, Sune Darkner, Nicoletta Nava, Jens Rondel Nyengaard, Eva Bjorn Wedel Jensen:
Estimating the thickness of ultra thin sections for electron microscopy by image statistics. ISBI 2014: 157-160 - [c20]Dídac R. Arbonès, Henrik G. Jensen, Annika Loft, Per Munck af Rosenschöld, Anders E. Hansen, Christian Igel, Sune Darkner:
Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer. Medical Imaging: Image Processing 2014: 903441 - [c19]Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR 2014: 223-230 - 2013
- [j4]Sune Darkner, Jon Sporring:
Locally Orderless Registration. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1437-1450 (2013) - [j3]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher-Order Momentum Distributions and Locally Affine LDDMM Registration. SIAM J. Imaging Sci. 6(1): 341-367 (2013) - [c18]Akshay Pai, Lauge Sørensen, Sune Darkner, Peter Mysling, Dan R. Jørgensen, Erik B. Dam, Martin Lillholm, Joonmi Oh, Gennan Chen, Joyce Suhy, Jon Sporring, Mads Nielsen:
Cube propagation for focal brain atrophy estimation. ISBI 2013: 402-405 - [c17]Peter Mysling, Sune Darkner, Jon Sporring, Erik Dam, Martin Lillholm:
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach. Medical Imaging: Image Processing 2013: 86692U - 2012
- [c16]Anders Boesen Lindbo Larsen, Sune Darkner, Anders Lindbjerg Dahl, Kim Steenstrup Pedersen:
Jet-Based Local Image Descriptors. ECCV (3) 2012: 638-650 - [c15]Sune Darkner, Line Harder Clemmensen:
Data Driven Constraints for the SVM. MLMI 2012: 70-77 - [i2]Sune Darkner, Jon Sporring:
Locally Orderless Registration. CoRR abs/1205.5425 (2012) - 2011
- [j2]Sune Darkner, Kenny Erleben:
A hyper elasticity method for interactive virtual design of hearing aids - A parallel method for general non-linear hyper elasticity modeling. Vis. Comput. 27(6-8): 645-653 (2011) - [c14]Sune Darkner, Jon Sporring:
Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information. IPMI 2011: 436-447 - [c13]Sune Darkner, Michael Sass Hansen, Rasmus Larsen, Mads Fogtmann Hansen:
Efficient Hyperelastic Regularization for Registration. SCIA 2011: 295-305 - [i1]Stefan Sommer, Mads Nielsen, Sune Darkner, Xavier Pennec:
Higher Order Kernels and Locally Affine LDDMM Registration. CoRR abs/1112.3166 (2011) - 2010
- [c12]Hildur Ólafsdóttir, Henrik Pedersen, Michael Sass Hansen, Mark Lyksborg, Mads Fogtmann Hansen, Sune Darkner, Rasmus Larsen:
Registration-based interpolation applied to cardiac MRI. Medical Imaging: Image Processing 2010: 762336 - [c11]Sune Darkner, Anders Bjorholm Dahl, Rasmus Larsen, Arnold Skimminge, Ellen Garde, Gunhild Waldemar:
Local Segmentation by Large Scale Hypothesis Testing - Segmentation as Outlier Detection. VISAPP (2) 2010: 215-220
2000 – 2009
- 2008
- [c10]Søren G. H. Erbou, Sune Darkner, Jurgen Fripp, Sébastien Ourselin, Bjarne K. Ersbøll:
Estimation of shape model parameters for 3D surfaces. ISBI 2008: 624-627 - [c9]Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen:
Analysis of Surfaces Using Constrained Regression Models. MICCAI (1) 2008: 842-849 - [c8]Sune Darkner, Dan Witzner Hansen, Rasmus R. Paulsen, Rasmus Larsen:
Robust registration for change detection. Medical Imaging: Image Processing 2008: 69142T - [c7]Sune Darkner, Martin Vester-Christensen, Rasmus R. Paulsen, Rasmus Larsen:
Non-rigid registration of 2D manifolds in 3D Euclidian space. Medical Imaging: Image Processing 2008: 69142R - 2007
- [j1]Rasmus Larsen, Mikkel B. Stegmann, Sune Darkner, Søren Forchhammer, Timothy F. Cootes, Bjarne K. Ersbøll:
Texture enhanced appearance models. Comput. Vis. Image Underst. 106(1): 20-30 (2007) - [c6]Fatih Kahraman, Muhittin Gökmen, Sune Darkner, Rasmus Larsen:
An Active Illumination and Appearance (AIA) Model for Face Alignment. CVPR 2007 - [c5]Sune Darkner, Rasmus Larsen, Rasmus R. Paulsen:
Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement. MICCAI (2) 2007: 801-808 - [c4]Martin Vester-Christensen, Søren G. H. Erbou, Sune Darkner, Rasmus Larsen:
Accelerated 3D image registration. Medical Imaging: Image Processing 2007: 65121W - [c3]Sune Darkner, Martin Vester-Christensen, Rasmus Larsen, Rasmus R. Paulsen:
Evaluating a method for automated rigid registration. Medical Imaging: Image Processing 2007: 651225 - 2004
- [c2]Sune Darkner, Rasmus Larsen, Mikkel B. Stegmann, Bjarne K. Ersbøll:
Wedgelet Enhanced Appearance Models. CVPR Workshops 2004: 177 - 2003
- [c1]Rasmus Larsen, Klaus Baggesen Hilger, Karl Skoglund, Sune Darkner, Rasmus R. Paulsen, Mikkel B. Stegmann, Brian Lading, Hans Henrik Thodberg, Hrafnkell Eiriksson:
Some Issues of Biological Shape Modelling with Applications. SCIA 2003: 509-519
Coauthor Index
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last updated on 2024-10-11 17:32 CEST by the dblp team
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