David Weiß

647 total citations
24 papers, 397 citations indexed

About

David Weiß is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Social Psychology. According to data from OpenAlex, David Weiß has authored 24 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Social Psychology. Recurrent topics in David Weiß's work include Color perception and design (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Brain Tumor Detection and Classification (4 papers). David Weiß is often cited by papers focused on Color perception and design (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Brain Tumor Detection and Classification (4 papers). David Weiß collaborates with scholars based in United States, Germany and United Kingdom. David Weiß's co-authors include Ben Taskar, Benjamin Sapp, Karl R. Gegenfurtner, Jeffrey D. Rudie, Leo P. Sugrue, Andreas M. Rauschecker, John B. Colby, Christoph Witzel, Christopher P. Hess and Javier Villanueva-Meyer and has published in prestigious journals such as Journal of the Optical Society of America A, Frontiers in Neuroscience and Journal of Vision.

In The Last Decade

David Weiß

23 papers receiving 390 citations

Peers

Countries citing papers authored by David Weiß

Since Specialization

Citations

This map shows the geographic impact of David Weiß'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 David Weiß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Weiß more than expected).

Fields of papers citing papers by David Weiß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Weiß. 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 David Weiß. The network helps show where David Weiß may publish in the future.

Co-authorship network of co-authors of David Weiß

This figure shows the co-authorship network connecting the top 25 collaborators of David Weiß. A scholar is included among the top collaborators of David Weiß 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 David Weiß. David Weiß 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	Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability 2025 ·Neuroinformatics ·(unknown), (unknown), David Weiß, (unknown), Long Xie, Jeffrey D. Rudie, Chunlei Liu, Leo P. Sugrue, Andreas M. Rauschecker	0
2	Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems 2025 ·Neuromorphic Computing and Engineering ·(unknown), (unknown), (unknown), David Weiß	1
3	Color constancy in real-world settings 2024 ·Journal of Vision ·Karl R. Gegenfurtner, David Weiß, Marina Bloj	6
4	The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset 2024 ·Radiology Artificial Intelligence ·Jeffrey D. Rudie, (unknown), David Weiß, (unknown), Evan Calabrese, John B. Colby, Benjamin Laguna, John Mongan, Steve Braunstein, Christopher P. Hess, Andreas M. Rauschecker, Leo P. Sugrue, Javier Villanueva-Meyer	10
5	Irregular optogenetic stimulation waveforms can induce naturalistic patterns of hippocampal spectral activity 2024 ·Journal of Neural Engineering ·(unknown), (unknown), David Weiß, Mark Connolly, Matthew Gombolay, Nealen G. Laxpati, Robert E. Gross	3
6	A machine learning approach for real-time cortical state estimation 2024 ·Journal of Neural Engineering ·David Weiß, (unknown), Aurélie Pala, (unknown), Garrett B. Stanley	1
7	3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies 2023 ·Frontiers in Neuroscience ·(unknown), (unknown), David Weiß, Jeffrey D. Rudie, Leo P. Sugrue, Andreas M. Rauschecker	4
8	Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks 2022 ·Radiology Artificial Intelligence ·Jeffrey D. Rudie, Evan Calabrese, (unknown), David Weiß, John B. Colby, Soonmee Cha, Christopher P. Hess, Andreas M. Rauschecker, Leo P. Sugrue, Javier Villanueva-Meyer	14
9	Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm 2021 ·Radiology Artificial Intelligence ·Andreas M. Rauschecker, (unknown), (unknown), Michael Tran Duong, David Weiß, Evan Calabrese, John B. Colby, Leo P. Sugrue, Jeffrey D. Rudie, Christopher P. Hess	16
10	Automated multiclass tissue segmentation of clinical brain MRIs with lesions 2021 ·NeuroImage Clinical ·David Weiß, (unknown), Long Xie, James C. Gee, Leo P. Sugrue, (unknown), R. Nick Bryan, Andreas M. Rauschecker, Jeffrey D. Rudie	14
11	Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases 2021 ·Radiology Artificial Intelligence ·Jeffrey D. Rudie, David Weiß, John B. Colby, Andreas M. Rauschecker, Benjamin Laguna, Steve Braunstein, Leo P. Sugrue, Christopher P. Hess, Javier Villanueva-Meyer	37
12	Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network 2019 ·Frontiers in Computational Neuroscience ·Jeffrey D. Rudie, David Weiß, (unknown), Andreas M. Rauschecker, Jiancong Wang, Leo P. Sugrue, Spyridon Bakas, John B. Colby	30
13	Determinants of Colour Constancy and the Blue Bias 2017 ·i-Perception ·David Weiß, Christoph Witzel, Karl R. Gegenfurtner	32
14	Bias effects of short- and long-term color memory for unique objects 2016 ·Journal of the Optical Society of America A ·Marina Bloj, David Weiß, Karl R. Gegenfurtner	10
15	A tetrachromatic display for the spatiotemporal control of rod and cone stimulation 2015 ·Journal of Vision ·(unknown), Vivian C. Paulun, David Weiß, Karl R. Gegenfurtner	14
16	Color constancy revisited: A better approach 2015 ·Journal of Vision ·David Weiß, Marina Bloj, Karl R. Gegenfurtner	1
17	Tracking and Grasping of Known and Unknown Objects from a Conveyor Belt 2014 ·International Symposium on Robotics ·Stefan Escaida Navarro, David Weiß, (unknown), (unknown), Björn Hein	9
18	Understanding Objects in Detail with Fine-Grained Attributes 2014 ·SPIRE - Sciences Po Institutional REpository ·Andrea Vedaldi, (unknown), Stavros Tsogkas, Subhransu Maji, Ross Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David Weiß, Ben Taskar, Karen Simonyan, Naomi Saphra, (unknown)	50
19	HOW TO ANALYZE PARTICIPATION IN A (C) MOOC 2013 ·Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) ·(unknown), David Weiß	4
20	SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning 2013 ·David Weiß, Ben Taskar	18

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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