On the effect of synthetic morphological feature vectors on hyperspectral image classification performance. - Amir Abbas Davari; Erchan Aptoula; Berrin A. Yanikoglu (SIU, 2015)

GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. - AmirAbbas Davari; Vincent Christlein; Sulaiman Vesal; Andreas K. Maier; Christian Riess (CAIP (2), 2017)

Sketch Layer Separation in Multi-Spectral Historical Document Images. - AmirAbbas Davari; Armin Häberle; Vincent Christlein; Andreas K. Maier; Christian Riess (CoRR, 2017)

Image Registration for the Alignment of Digitized Historical Documents. - AmirAbbas Davari; Tobias Lindenberger; Armin Häberle; Vincent Christlein; Andreas K. Maier; Christian Riess (CoRR, 2017)

Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. - Sulaiman Vesal; Andres Diaz-Pinto; Nishant Ravikumar; Stephan Ellmann; AmirAbbas Davari; Andreas K. Maier (CoRR, 2017)

Classification of Breast Cancer Histology Images Using Transfer Learning. - Sulaiman Vesal; Nishant Ravikumar; AmirAbbas Davari; Stephan Ellmann; Andreas K. Maier (ICIAR, 2018)

Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. - AmirAbbas Davari; Nikolaos Sakaltras; Armin Häberle; Sulaiman Vesal; Vincent Christlein; Andreas K. Maier; Christian Riess (ICIP, 2018)

Fast Sample Generation with Variational Bayesian for Limited Data Hyperspectral Image Classification. - AmirAbbas Davari; Hasan Can Ozkan; Andreas K. Maier; Christian Riess (IGARSS, 2018)

GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data. - AmirAbbas Davari; Erchan Aptoula; Berrin A. Yanikoglu; Andreas K. Maier; Christian Riess (IEEE Geosci. Remote. Sens. Lett., 2018)

Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. - AmirAbbas Davari; Hasan Can Ozkan; Andreas K. Maier; Christian Riess (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

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 001 (CoRR, 2020)

Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. - Rosanna Dietrich-Sussner; AmirAbbas Davari; Thorsten Seehaus; Matthias H. Braun; Vincent Christlein; Andreas K. Maier; Christian Riess (IGARSS, 2021)

Bayesian U-Net for Segmenting Glaciers in Sar Imagery. - Andreas Hartmann; AmirAbbas Davari; Thorsten Seehaus; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IGARSS, 2021)

Glacier Calving Front Segmentation Using Attention U-Net. - Michael Holzmann; AmirAbbas Davari; Thorsten Seehaus; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IGARSS, 2021)

On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. - AmirAbbas Davari; Saahil Islam; Thorsten Seehaus; Matthias H. Braun; Andreas Maier 001; Vincent Christlein (CoRR, 2021)

Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation. - AmirAbbas Davari; Christoph Baller; Thorsten Seehaus; Matthias H. Braun; Andreas Maier 001; Vincent Christlein (CoRR, 2021)

How to Get the Most Out of U-Net for Glacier Calving Front Segmentation. - Maniraman Periyasamy; AmirAbbas Davari; Thorsten Seehaus; Matthias Braun 001; Andreas Maier 001; Vincent Christlein (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Pixelwise Distance Regression for Glacier Calving Front Detection and Segmentation. - AmirAbbas Davari; Christoph Baller; Thorsten Seehaus; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IEEE Trans. Geosci. Remote. Sens., 2022)

On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. - AmirAbbas Davari; Saahil Islam; Thorsten Seehaus; Andreas Hartmann; Matthias H. Braun; Andreas K. Maier; Vincent Christlein (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Analysis using Limited Data. - AmirAbbas Davari (2022)

Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. - Mohammad Joshaghani; AmirAbbas Davari; Faezeh Nejati Hatamian; Andreas K. Maier; Christian Riess (IEEE Geosci. Remote. Sens. Lett., 2023)