Maximilian Baust

3.3k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Maximilian Baust is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maximilian Baust has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maximilian Baust's work include Medical Image Segmentation Techniques (17 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (4 papers). Maximilian Baust is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (4 papers). Maximilian Baust collaborates with scholars based in Germany, United States and India. Maximilian Baust's co-authors include Nassir Navab, Slobodan Ilić, Miroslava Slavcheva, Tingying Peng, Katja Steiger, Iréne Esposito, Abhishek Vahadane, Amit Sethi, Anna Melissa Schlitter and Shadi Albarqouni and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Maximilian Baust

33 papers receiving 1.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

2016 453 citations Abhishek Vahadane, Tingying Peng et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Maximilian Baust

Since Specialization

Citations

This map shows the geographic impact of Maximilian Baust's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maximilian Baust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Baust more than expected).

Fields of papers citing papers by Maximilian Baust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maximilian Baust. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maximilian Baust. The network helps show where Maximilian Baust may publish in the future.

Co-authorship network of co-authors of Maximilian Baust

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Baust. A scholar is included among the top collaborators of Maximilian Baust based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maximilian Baust. Maximilian Baust is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Variational Level Set Evolution for Non-rigid 3D Reconstruction from a Single Depth Camera 2020 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Miroslava Slavcheva, Maximilian Baust, Slobodan Ilić	18
2	Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound 2019 ·IEEE Transactions on Medical Imaging ·Marco Esposito, Christoph Hennersperger, (unknown), Laurent Demaret, Martin Storath, Nassir Navab, Maximilian Baust, Andreas Weinmann	10
3	Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks 2019 ·Scientific Reports ·(unknown), Stephan G. Nekolla, Christian Rupprecht, Mona Mustafa, Nassir Navab, Maximilian Baust	40
4	Privacy-Preserving Federated Brain Tumour Segmentation 2019 ·Lecture notes in computer science ·Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, (unknown), Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng	294
5	Use the force: deformation correction in robotic 3D ultrasound 2018 ·International Journal of Computer Assisted Radiology and Surgery ·Salvatore Virga, (unknown), Maximilian Baust, Nassir Navab, Christoph Hennersperger	23
6	SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion 2018 ·Miroslava Slavcheva, Maximilian Baust, Slobodan Ilić	71
7	Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease 2017 ·Scientific Reports ·Kanishka Sharma, Christian Rupprecht, Anna Caroli, M Aparicio, Andrea Remuzzi, Maximilian Baust, Nassir Navab	133
8	KillingFusion: Non-rigid 3D Reconstruction without Correspondences 2017 ·Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilić	110
9	Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses 2017 ·Christian Rupprecht, Iro Laina, Robert DiPietro, Maximilian Baust, Federico Tombari, Nassir Navab, Gregory D. Hager	81
10	Vascular image registration techniques: A living review 2016 ·Medical Image Analysis ·(unknown), (unknown), Maximilian Baust, Nassir Navab, Stefanie Demirci	32
11	Joint Segmentation and Shape Regularization With a Generalized Forward–Backward Algorithm 2016 ·IEEE Transactions on Image Processing ·(unknown), Andreas Weinmann, Martin Storath, Nassir Navab, Maximilian Baust	2
12	Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data 2015 ·Shadi Albarqouni, Maximilian Baust, Sailesh Conjeti, (unknown), Nassir Navab	1
13	Structure-preserved color normalization for histological images 2015 ·Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Iréne Esposito, Nassir Navab	60
14	Real-time uncertainty visualization for B-mode ultrasound 2015 ·(unknown), (unknown), Christoph Hennersperger, Maximilian Baust, Nassir Navab	5
15	3D Velocity Field and Flow Profile Reconstruction from Arbitrarily Sampled Doppler Ultrasound Data 2014 ·Lecture notes in computer science ·Oliver Zettinig, Christoph Hennersperger, (unknown), Maximilian Baust, Nassir Navab	1
16	Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition 2014 ·Lecture notes in computer science ·Tingying Peng, Lichao Wang, Christine Bayer, Sailesh Conjeti, Maximilian Baust, Nassir Navab	9
17	Disocclusion-based 2D–3D registration for aortic interventions 2013 ·Computers in Biology and Medicine ·Stefanie Demirci, Maximilian Baust, Oliver Kutter, (unknown), Hans‐Henning Eckstein, Nassir Navab	19
18	3D Stent Recovery from One X-Ray Projection 2011 ·Lecture notes in computer science ·Stefanie Demirci, (unknown), Lejing Wang, Christian Wachinger, Maximilian Baust, (unknown), (unknown), Hans‐Henning Eckstein, Nassir Navab	14
19	Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis 2011 ·Lecture notes in computer science ·Seyed‐Ahmad Ahmadi, Maximilian Baust, Athanasios Karamalis, Annika Plate, Kai Boetzel, Tassilo Klein, Nassir Navab	16
20	Generalization of Deformable Registration in Riemannian Sobolev Spaces 2010 ·Lecture notes in computer science ·Darko Zikic, Maximilian Baust, Ali Kamen, Nassir Navab	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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