A 3D Live-Wire Segmentation Method for Volume Images Using Haptic Interaction. - Filip Malmberg; Erik Vidholm; Ingela Nyström (DGCI, 2006)

Sub-pixel Segmentation with the Image Foresting Transform. - Filip Malmberg; Joakim Lindblad; Ingela Nyström (IWCIA, 2009)

Binarization of Phase Contrast Volume Images of Fibrous Materials - A Case Study. - Filip Malmberg; Catherine Östlund; Gunilla Borgefors (VISAPP (2), 2009)

Relaxed image foresting transforms for interactive volume image segmentation. - Filip Malmberg; Ingela Nyström; Andrew Mehnert; Craig Engstrom; Ewert Bengtsson (Image Processing, 2010)

Visualization and Haptics for Interactive Medical Image Analysis: Image Segmentation in Cranio-Maxillofacial Surgery Planning. - Ingela Nyström; Johan Nysjö; Filip Malmberg (IVIC (1), 2011)

Image Foresting Transform: On-the-Fly Computation of Segmentation Boundaries. - Filip Malmberg (SCIA, 2011)

Generalized Hard Constraints for Graph Segmentation. - Filip Malmberg; Robin Strand; Ingela Nyström (SCIA, 2011)

A graph-based framework for sub-pixel image segmentation. - Filip Malmberg; Joakim Lindblad; Natasa Sladoje; Ingela Nyström (Theor. Comput. Sci., 2011)

Graph-based Methods for Interactive Image Segmentation. - Filip Malmberg (2011)

Towards User-Guided Quantitative Evaluation of Wrist Fractures in CT Images. - Johan Nysjö; Albert Christersson; Filip Malmberg; Ida-Maria Sintorn; Ingela Nyström (ICCVG, 2012)

Seeded segmentation based on object homogeneity. - Filip Malmberg; Robin Strand; Richard Nordenskjöld; Joel Kullberg (ICPR, 2012)

Precise 3D Angle Measurements in CT Wrist Images. - Johan Nysjö; Albert Christersson; Ida-Maria Sintorn; Ingela Nyström; Sune Larsson; Filip Malmberg (ICIAP (2), 2013)

Faster Fuzzy Connectedness via Precomputation. - Filip Malmberg; Robin Strand (ISMM, 2013)

The minimum barrier distance. - Robin Strand; Krzysztof Chris Ciesielski; Filip Malmberg; Punam K. Saha (Comput. Vis. Image Underst., 2013)

Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. - Richard Nordenskjöld; Filip Malmberg; Elna-Marie Larsson; Andrew Simmons 001; Samantha J. Brooks; Lars Lind; Håkan Ahlström; Lars Johansson; Joel Kullberg (NeuroImage, 2013)

Exact Evaluation of Stochastic Watersheds: From Trees to General Graphs. - Filip Malmberg; Bettina Selig; Cris L. Luengo Hendriks (DGCI, 2014)

The Minimum Barrier Distance - Stability to Seed Point Position. - Robin Strand; Filip Malmberg; Punam K. Saha; Elisabeth Schold Linnér (DGCI, 2014)

Efficient algorithm for finding the exact minimum barrier distance. - Krzysztof Chris Ciesielski; Robin Strand; Filip Malmberg; Punam K. Saha (Comput. Vis. Image Underst., 2014)

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. - Geert Litjens 001; 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; et al. (Medical Image Anal., 2014)

An efficient algorithm for exact evaluation of stochastic watersheds. - Filip Malmberg; Cris L. Luengo Hendriks (Pattern Recognit. Lett., 2014)

Fast Evaluation of the Robust Stochastic Watershed. - Bettina Selig; Filip Malmberg; Cris L. Luengo Hendriks (ISMM, 2015)

BoneSplit -A 3D Texture Painting Tool For Interactive Bone Separation in CT Images. - Johan Nysjö; Filip Malmberg; Ida-Maria Sintorn; Ingela Nyström (J. WSCG, 2015)

The Boolean Map Distance: Theory and Efficient Computation. - Filip Malmberg; Robin Strand; Jianming Zhang 001; Stan Sclaroff (DGCI, 2017)

The Minimum Barrier Distance: A Summary of Recent Advances. - Robin Strand; Krzysztof Chris Ciesielski; Filip Malmberg; Punam K. Saha (DGCI, 2017)

SmartPaint: a tool for interactive segmentation of medical volume images. - Filip Malmberg; Richard Nordenskjöld; Robin Strand; Joel Kullberg (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

Exact evaluation of targeted stochastic watershed cuts. - Filip Malmberg; Cris L. Luengo Hendriks; Robin Strand (Discret. Appl. Math., 2017)

Using Anti-Aliased Signed Distance Fields for Generating Surgical Guides and Plates from CT Images. - Fredrik Nysjö; Pontus Olsson; Filip Malmberg; Ingrid B. Carlbom; Ingela Nyström (J. WSCG, 2017)

When Can l_p -norm Objective Functions Be Minimized via Graph Cuts? - Filip Malmberg; Robin Strand (IWCIA, 2018)

SoftCut: A Virtual Planning Tool for Soft Tissue Resection on CT Images. - Ludovic Blache; Fredrik Nysjö; Filip Malmberg; Andreas Thor; Andrés Rodríguez Lorenzo; Ingela Nyström (MIUA, 2018)

When can lp-norm objective functions be minimized via graph cuts? - Filip Malmberg (CoRR, 2018)

Visual Saliency: From Pixel-Level to Object-Level Analysis - Jianming Zhang 001; Filip Malmberg; Stan Sclaroff (Springer, 2019)

Optimization of Max-Norm Objective Functions in Image Processing and Computer Vision. - Filip Malmberg; Krzysztof Chris Ciesielski; Robin Strand (DGCI, 2019)

PDNet: Semantic segmentation integrated with a primal-dual network for document binarization. - Kalyan Ram Ayyalasomayajula; Filip Malmberg; Anders Brun (Pattern Recognit. Lett., 2019)

Recent advances in large scale whole body MRI image analysis: Imiomics. - Robin Strand; Simon Ekström; Eva Breznik; Therese Sjöholm; Martino Pilia; Lars Lind; Filip Malmberg; Håkan Ahlström; Joel Kullberg (SIET, 2020)

RayCaching: Amortized Isosurface Rendering for Virtual Reality. - Fredrik Nysjö; Filip Malmberg; Ingela Nyström (Comput. Graph. Forum, 2020)

Fast graph-cut based optimization for practical dense deformable registration of volume images. - Simon Ekström; Filip Malmberg; Håkan Ahlström; Joel Kullberg; Robin Strand (Comput. Medical Imaging Graph., 2020)

Two Polynomial Time Graph Labeling Algorithms Optimizing Max-Norm-Based Objective Functions. - Filip Malmberg; Krzysztof Chris Ciesielski (J. Math. Imaging Vis., 2020)

Guest Editorial: Discrete Geometry and Mathematical Morphology. - Filip Malmberg; Joakim Lindblad; Natasa Sladoje (J. Math. Imaging Vis., 2022)

Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. - Axel Andersson; Andrea Behanova; Carolina Wählby; Filip Malmberg (GbRPR, 2023)

A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs. - Filip Malmberg; Alexandre X. Falcão (GbRPR, 2023)

Exact analysis of One-Warehouse-Multiple-Retailer inventory systems with quantity restricted deliveries. - Jonas Andersson 001; Filip Malmberg; Johan Marklund (Eur. J. Oper. Res., 2023)

Leveraging Point Annotations in Segmentation Learning with Boundary Loss. - Eva Breznik; Hoel Kervadec; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Marleen de Bruijne; Robin Strand (ICPR (13), 2024)