Bajgain, R.[Rajen]
* 2015: Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites
* 2019: Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
* 2021: Comparing Evapotranspiration Products of Different Temporal and Spatial Scales in Native and Managed Prairie Pastures
Bajger, M.[Mariusz]
* 2007: Two graph theory based methods for identifying the pectoral muscle in mammograms
* 2009: Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis
* 2009: Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms
* 2010: Mammographic Mass Detection with Statistical Region Merging
* 2013: 3D Segmentation for Multi-Organs in CT Images
* 2015: Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning
* 2015: Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE
* 2016: Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging
* 2016: Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images
* 2017: Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts
* 2018: Superpixel texture analysis for classification of breast masses in dense background
* 2021: Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study
* 2021: Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT
Includes: Bajger, M.[Mariusz] Bajger, M.
13 for Bajger, M.
Bajgiran, A.M.[A. Mohammadian]
* 2019: Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet