Putz, B.[Benno]
* 2002: Cluster Analysis of Biomedical Image Time-Series
Includes: Putz, B.[Benno] Pütz, B.[Benno] (Maybe also Puetz, B.)
Putze, F.[Felix]
* 2010: Multimodal Recognition of Cognitive Workload for Multitasking in the Car
Putze, T.[Torsten]
* 2008: 3D Determination of Very Dense Particle Velocity Fields by Tomographic Reconstruction from Four Camera Views and Voxel Space Tracking
Putzenlechner, B.[Birgitta]
* 2022: Fractional Vegetation Cover Derived from UAV and Sentinel-2 Imagery as a Proxy for In Situ FAPAR in a Dense Mixed-Coniferous Forest?
* 2025: Impact of forest disturbance derived from Sentinel-2 time series on Landsat 8/9 land surface temperature: The case of Norway spruce in Central Germany
Putzgruber Adamitsch, D.[Doris]
* 2018: Frame-Based Classification of Operation Phases in Cataract Surgery Videos
* 2020: Evaluating the Generalization Performance of Instrument Classification in Cataract Surgery Videos
* 2021: Relevance Detection in Cataract Surgery Videos by Spatio- Temporal Action Localization
Includes: Putzgruber Adamitsch, D.[Doris] Putzgruber-Adamitsch, D.[Doris]
Putzu, L.[Lorenzo]
* 2013: Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image
* 2015: Comparison of Statistical Features for Medical Colour Image Classification
* 2015: Learning by Sampling for White Blood Cells Segmentation
* 2015: Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation, A
* 2015: On Different Colour Spaces for Medical Colour Image Classification
* 2016: leucocytes count system from blood smear images, A
* 2016: Mobile Application for Leaf Detection in Complex Background Using Saliency Maps, A
* 2017: Histological Image Analysis by Invariant Descriptors
* 2017: Rotation Invariant Co-occurrence Matrix Features
* 2018: Fast and accurate computation of orthogonal moments for texture analysis
* 2019: Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images, A
* 2021: Automatic Myelofibrosis Grading from Silver-Stained Images
* 2021: How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
* 2021: Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval
* 2021: Online Domain Adaptation for Person Re-Identification with a Human in the Loop
* 2022: On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models
* 2022: On the Evaluation of Video-Based Crowd Counting Models
* 2022: Scene-specific crowd counting using synthetic training images
* 2023: Blues: Before-relu-estimates Bayesian Inference for Crowd Counting
* 2023: Specialise to Generalise: The Person Re-identification Case
* 2024: Synthetic Data for Video Surveillance Applications of Computer Vision: A Review
* 2025: Distributed collaborative machine learning in real-world application scenario: A white blood cell subtypes classification case study
* 2025: Synthetic data sets for person Re-Identification: A critical analysis
23 for Putzu, L.