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ORCIDFilip 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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