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Filip Malmberg
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2020 – today
- 2023
- [j16]Jonas Andersson, Filip Malmberg
, Johan Marklund
:
Exact analysis of One-Warehouse-Multiple-Retailer inventory systems with quantity restricted deliveries. Eur. J. Oper. Res. 309(3): 1161-1172 (2023) - [c22]Filip Malmberg, Alexandre X. Falcão:
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs. GbRPR 2023: 35-45 - [c21]Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg:
Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. GbRPR 2023: 139-148 - [i6]Filip Malmberg, Alexandre X. Falcão:
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs. CoRR abs/2304.12642 (2023) - [i5]Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand:
Leveraging point annotations in segmentation learning with boundary loss. CoRR abs/2311.03537 (2023) - [i4]Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg:
Cell segmentation of in situ transcriptomics data using signed graph partitioning. CoRR abs/2312.04181 (2023) - 2022
- [j15]Filip Malmberg, Joakim Lindblad, Natasa Sladoje:
Guest Editorial: Discrete Geometry and Mathematical Morphology. J. Math. Imaging Vis. 64(7): 691-692 (2022) - 2021
- [e1]Joakim Lindblad, Filip Malmberg, Natasa Sladoje:
Discrete Geometry and Mathematical Morphology - First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings. Lecture Notes in Computer Science 12708, Springer 2021, ISBN 978-3-030-76656-6 [contents] - 2020
- [j14]Fredrik Nysjö
, Filip Malmberg, Ingela Nyström
:
RayCaching: Amortized Isosurface Rendering for Virtual Reality. Comput. Graph. Forum 39(1): 220-230 (2020) - [j13]Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand:
Fast graph-cut based optimization for practical dense deformable registration of volume images. Comput. Medical Imaging Graph. 84: 101745 (2020) - [j12]Filip Malmberg
, Krzysztof Chris Ciesielski:
Two Polynomial Time Graph Labeling Algorithms Optimizing Max-Norm-Based Objective Functions. J. Math. Imaging Vis. 62(5): 737-750 (2020) - [c20]Robin Strand, Simon Ekström, Eva Breznik
, Therese Sjöholm
, Martino Pilia
, Lars Lind, Filip Malmberg, Håkan Ahlström, Joel Kullberg:
Recent advances in large scale whole body MRI image analysis: Imiomics. SIET 2020: 10-15
2010 – 2019
- 2019
- [b2]Jianming Zhang, Filip Malmberg, Stan Sclaroff:
Visual Saliency: From Pixel-Level to Object-Level Analysis. Springer 2019, ISBN 978-3-030-04830-3, pp. 1-114 - [j11]Kalyan Ram Ayyalasomayajula, Filip Malmberg, Anders Brun:
PDNet: Semantic segmentation integrated with a primal-dual network for document binarization. Pattern Recognit. Lett. 121: 52-60 (2019) - [c19]Filip Malmberg, Krzysztof Chris Ciesielski, Robin Strand:
Optimization of Max-Norm Objective Functions in Image Processing and Computer Vision. DGCI 2019: 206-218 - 2018
- [c18]Filip Malmberg, Robin Strand:
When Can l_p -norm Objective Functions Be Minimized via Graph Cuts? IWCIA 2018: 112-117 - [c17]Ludovic Blache, Fredrik Nysjö
, Filip Malmberg, Andreas Thor, Andrés Rodríguez Lorenzo, Ingela Nyström:
SoftCut: A Virtual Planning Tool for Soft Tissue Resection on CT Images. MIUA 2018: 299-310 - [i3]Kalyan Ram Ayyalasomayajula, Filip Malmberg, Anders Brun:
PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarization. CoRR abs/1801.08694 (2018) - [i2]Filip Malmberg:
When can lp-norm objective functions be minimized via graph cuts? CoRR abs/1802.00624 (2018) - [i1]Simon Ekström, Filip Malmberg, Håkan Ahlström, Joel Kullberg, Robin Strand:
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images. CoRR abs/1810.08427 (2018) - 2017
- [j10]Filip Malmberg, Richard Nordenskjöld, Robin Strand, Joel Kullberg:
SmartPaint: a tool for interactive segmentation of medical volume images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(1): 36-44 (2017) - [j9]Filip Malmberg, Cris L. Luengo Hendriks
, Robin Strand:
Exact evaluation of targeted stochastic watershed cuts. Discret. Appl. Math. 216: 449-460 (2017) - [j8]Fredrik Nysjö, Pontus Olsson, Filip Malmberg, Ingrid B. Carlbom, Ingela Nyström:
Using Anti-Aliased Signed Distance Fields for Generating Surgical Guides and Plates from CT Images. J. WSCG 25(1): 11-20 (2017) - [c16]Robin Strand, Krzysztof Chris Ciesielski, Filip Malmberg, Punam K. Saha
:
The Minimum Barrier Distance: A Summary of Recent Advances. DGCI 2017: 57-68 - [c15]Filip Malmberg, Robin Strand, Jianming Zhang, Stan Sclaroff:
The Boolean Map Distance: Theory and Efficient Computation. DGCI 2017: 335-346 - 2015
- [j7]Johan Nysjö, Filip Malmberg, Ida-Maria Sintorn, Ingela Nyström:
BoneSplit -A 3D Texture Painting Tool For Interactive Bone Separation in CT Images. J. WSCG 23(2): 157-166 (2015) - [c14]Bettina Selig, Filip Malmberg, Cris L. Luengo Hendriks
:
Fast Evaluation of the Robust Stochastic Watershed. ISMM 2015: 705-716 - 2014
- [j6]Krzysztof Chris Ciesielski, Robin Strand
, Filip Malmberg, Punam K. Saha
:
Efficient algorithm for finding the exact minimum barrier distance. Comput. Vis. Image Underst. 123: 53-64 (2014) - [j5]Geert Litjens
, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken
, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand
, Filip Malmberg, Yangming Ou
, Christos Davatzikos
, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden
, Soumya Ghose, Jhimli Mitra, Jason Dowling
, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi
:
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18(2): 359-373 (2014) - [j4]Filip Malmberg, Cris L. Luengo Hendriks
:
An efficient algorithm for exact evaluation of stochastic watersheds. Pattern Recognit. Lett. 47: 80-84 (2014) - [c13]Robin Strand, Filip Malmberg, Punam K. Saha, Elisabeth Schold Linnér:
The Minimum Barrier Distance - Stability to Seed Point Position. DGCI 2014: 111-121 - [c12]Filip Malmberg, Bettina Selig, Cris L. Luengo Hendriks
:
Exact Evaluation of Stochastic Watersheds: From Trees to General Graphs. DGCI 2014: 309-319 - 2013
- [j3]Robin Strand
, Krzysztof Chris Ciesielski, Filip Malmberg, Punam K. Saha
:
The minimum barrier distance. Comput. Vis. Image Underst. 117(4): 429-437 (2013) - [j2]Richard Nordenskjöld, Filip Malmberg, Elna-Marie Larsson, Andrew Simmons, Samantha J. Brooks
, Lars Lind, Håkan Ahlström, Lars Johansson, Joel Kullberg:
Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. NeuroImage 83: 355-360 (2013) - [c11]Johan Nysjö, Albert Christersson, Ida-Maria Sintorn, Ingela Nyström, Sune Larsson, Filip Malmberg:
Precise 3D Angle Measurements in CT Wrist Images. ICIAP (2) 2013: 479-488 - [c10]Filip Malmberg, Robin Strand
:
Faster Fuzzy Connectedness via Precomputation. ISMM 2013: 476-483 - 2012
- [c9]Johan Nysjö, Albert Christersson, Filip Malmberg, Ida-Maria Sintorn, Ingela Nyström:
Towards User-Guided Quantitative Evaluation of Wrist Fractures in CT Images. ICCVG 2012: 204-211 - [c8]Filip Malmberg, Robin Strand, Richard Nordenskjöld, Joel Kullberg:
Seeded segmentation based on object homogeneity. ICPR 2012: 21-24 - 2011
- [b1]Filip Malmberg:
Graph-based Methods for Interactive Image Segmentation. Uppsala University, Sweden, 2011 - [j1]Filip Malmberg, Joakim Lindblad
, Natasa Sladoje, Ingela Nyström:
A graph-based framework for sub-pixel image segmentation. Theor. Comput. Sci. 412(15): 1338-1349 (2011) - [c7]Ingela Nyström, Johan Nysjö, Filip Malmberg:
Visualization and Haptics for Interactive Medical Image Analysis: Image Segmentation in Cranio-Maxillofacial Surgery Planning. IVIC (1) 2011: 1-12 - [c6]Filip Malmberg, Robin Strand
, Ingela Nyström:
Generalized Hard Constraints for Graph Segmentation. SCIA 2011: 36-47 - [c5]Filip Malmberg:
Image Foresting Transform: On-the-Fly Computation of Segmentation Boundaries. SCIA 2011: 616-624 - 2010
- [c4]Filip Malmberg, Ingela Nyström, Andrew Mehnert
, Craig Engstrom
, Ewert Bengtsson:
Relaxed image foresting transforms for interactive volume image segmentation. Medical Imaging: Image Processing 2010: 762340
2000 – 2009
- 2009
- [c3]Filip Malmberg, Joakim Lindblad
, Ingela Nyström:
Sub-pixel Segmentation with the Image Foresting Transform. IWCIA 2009: 201-211 - [c2]Filip Malmberg, Catherine Östlund, Gunilla Borgefors:
Binarization of Phase Contrast Volume Images of Fibrous Materials - A Case Study. VISAPP (2) 2009: 148-153 - 2006
- [c1]Filip Malmberg, Erik Vidholm, Ingela Nyström:
A 3D Live-Wire Segmentation Method for Volume Images Using Haptic Interaction. DGCI 2006: 663-673
Coauthor Index
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