39 citations · 88 across the 9 of their papers we have counts for
13 papers
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification
Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian +2
Employing deep neural networks for Hyperspectral remote sensing (HSRS) image classification is a challenging task. HSRS images have high dimensionality and a large number of channe…
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
Amirabbas Davari, Christoph Baller, Thorsten Seehaus +3
Glacier calving front position (CFP) is an important glaciological variable. Traditionally, delineating the CFPs has been carried out manually, which was subjective, tedious and ex…
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
Amirabbas Davari, Saahil Islam, Thorsten Seehaus +3
The vast majority of the outlet glaciers and ice streams of the polar ice sheets end in the ocean. Ice mass loss via calving of the glaciers into the ocean has increased over the l…
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
Rosanna Dietrich-Sussner, Amirabbas Davari, Thorsten Seehaus +4
Supervised machine learning requires a large amount of labeled data to achieve proper test results. However, generating accurately labeled segmentation maps on remote sensing image…
Glacier Calving Front Segmentation Using Attention U-Net
Michael Holzmann, Amirabbas Davari, Thorsten Seehaus +3
An essential climate variable to determine the tidewater glacier status is the location of the calving front position and the separation of seasonal variability from long-term tren…
Bayesian U-Net for Segmenting Glaciers in SAR Imagery
Andreas Hartmann, Amirabbas Davari, Thorsten Seehaus +3
Fluctuations of the glacier calving front have an important influence over the ice flow of whole glacier systems. It is therefore important to precisely monitor the position of the…
The Effect of Various Strengths of Noises and Data Augmentations on Classification of Short Single-Lead ECG Signals Using Deep Neural Networks
Faezeh Nejati Hatamian, AmirAbbas Davari, Andreas Maier
Due to the multiple imperfections during the signal acquisition, Electrocardiogram (ECG) datasets are typically contaminated with numerous types of noise, like salt and pepper and…
Classification of breast cancer histology images using transfer learning
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari +2
Breast cancer is one of the leading causes of mortality in women. Early detection and treatment are imperative for improving survival rates, which have steadily increased in recent…
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
AmirAbbas Davari, Nikolaos Sakaltras, Armin Haeberle +4
Old master drawings were mostly created step by step in several layers using different materials. To art historians and restorers, examination of these layers brings various insigh…
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation
Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar +3
Magnetic resonance imaging (MRI) is an effective imaging modality for identifying and localizing breast lesions in women. Accurate and precise lesion segmentation using a computer-…
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data
AmirAbbas Davari, Erchan Aptoula, Berrin Yanikoglu +2
The amount of training data that is required to train a classifier scales with the dimensionality of the feature data. In hyperspectral remote sensing, feature data can potentially…
Image Registration for the Alignment of Digitized Historical Documents
AmirAbbas Davari, Tobias Lindenberger, Armin Häberle +3
In this work, we conducted a survey on different registration algorithms and investigated their suitability for hyperspectral historical image registration applications. After the…
Sketch Layer Separation in Multi-Spectral Historical Document Images
AmirAbbas Davari, Armin Häberle, Vincent Christlein +2
High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures. Despite the various techniques for analysis, a signi…