Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory. - Beril Sirmaçek; Cem Ünsalan (IEEE Trans. Geosci. Remote. Sens., 2009)

Road Network Extraction Using Edge Detection and Spatial Voting. - Beril Sirmaçek; Cem Ünsalan (ICPR, 2010)

Urban Area Detection Using Local Feature Points and Spatial Voting. - Beril Sirmaçek; Cem Ünsalan (IEEE Geosci. Remote. Sens. Lett., 2010)

Using local features to measure land development in urban regions. - Beril Sirmaçek; Cem Ünsalan (Pattern Recognit. Lett., 2010)

Integrating pedestrian simulation, tracking and event detection for crowd analysis. - Matthias Butenuth; Florian Burkert; Florian Schmidt 004; Stefan Hinz; Dirk Hartmann; Angelika Kneidl; André Borrmann; Beril Sirmaçek (ICCV Workshops, 2011)

Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework. - Beril Sirmaçek; Peter Reinartz (ICCV Workshops, 2011)

Graph theory and mean shift segmentation based classification of building facades. - Beril Sirmaçek (JURSE, 2011)

Detection of windows and doors from thermal images by grouping geometrical features. - Beril Sirmaçek; Ludwig Hoegner; Uwe Stilla (JURSE, 2011)

A Probabilistic Framework to Detect Buildings in Aerial and Satellite Images. - Beril Sirmaçek; Cem Ünsalan (IEEE Trans. Geosci. Remote. Sens., 2011)

Performance assessment of automatic crowd detection techniques on airborne images. - Beril Sirmaçek; Jeroen Lichtenauer; Cem Ünsalan; Peter Reinartz (IGARSS, 2012)

Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors. - Beril Sirmaçek; Hannes Taubenböck; Peter Reinartz; Manfred Ehlers (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Road Network Detection Using Probabilistic and Graph Theoretical Methods. - Cem Ünsalan; Beril Sirmaçek (IEEE Trans. Geosci. Remote. Sens., 2012)

Active Shapes for Automatic 3D Modeling of Buildings. - Beril Sirmaçek; Roderik Lindenbergh (J. Imaging, 2015)

Semantic Segmentation of Skin Lesions using a Small Data Set. - Beril Sirmaçek; Max Kivits (CoRR, 2019)

Sequential image processing methods for improving semantic video segmentation algorithms. - Beril Sirmaçek; Nicolò Botteghi; Santiago Sanchez-Escalonilla Plaza (CoRR, 2019)

3D tissue reconstruction with Kinect to evaluate neck lymphedema. - Gerrit Brugman; Beril Sirmaçek (CoRR, 2019)

A low-cost real-time 3D imaging system for contactless asthma observation. - Sheona M. M. D. P. Sequeira; Beril Sirmaçek (CoRR, 2019)

Low Dimensional State Representation Learning with Reward-shaped Priors. - Nicolò Botteghi; Ruben Obbink; Daan Geijs; Mannes Poel; Beril Sirmaçek; Christoph Brune; Abeje Y. Mersha; Stefano Stramigioli (ICPR, 2020)

On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach. - Nicolò Botteghi; Beril Sirmaçek; Khaled A. A. Mustafa; Mannes Poel; Stefano Stramigioli (CoRR, 2020)

Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices. - Beril Sirmaçek; Maria Riveiro 001 (Sensors, 2020)

A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. - Jochem Postmes; Nicolò Botteghi; Beril Sirmaçek; Andreas Kamilaris (IOT, 2021)

Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. - Nicolò Botteghi; Khaled Alaa; Mannes Poel; Beril Sirmaçek; Christoph Brune; Abeje Y. Mersha; Stefano Stramigioli (IROS, 2021)

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. - Nicolò Botteghi; Luuk Grefte; Mannes Poel; Beril Sirmaçek; Christoph Brune; Edwin Dertien; Stefano Stramigioli (RiTA, 2021)

Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models. - Girindra Wardhana; Hamid Naghibi; Beril Sirmaçek; Momen Abayazid (Int. J. Comput. Assist. Radiol. Surg., 2021)

Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. - Nicolò Botteghi; Mannes Poel; Beril Sirmaçek; Christoph Brune (CoRR, 2021)

Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change. - Beril Sirmaçek (CoRR, 2021)

Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound. - Frieda van den Noort; Beril Sirmaçek; Cornelis H. Slump (CoRR, 2021)

Aim in Climate Change and City Pollution. - Pablo Torres; Beril Sirmaçek; Sergio Hoyas; Ricardo Vinuesa (CoRR, 2021)

Interpretable deep-learning models to help achieve the Sustainable Development Goals. - Ricardo Vinuesa; Beril Sirmaçek (Nat. Mach. Intell., 2021)

Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data. - Simon Arvidsson; Marcus Gullstrand; Beril Sirmaçek; Maria Riveiro 001 (Sensors, 2021)

The potential of artificial intelligence for achieving healthy and sustainable societies. - Beril Sirmaçek; S. Gupta; Fermín Mallor; Hossein Azizpour; Yifang Ban; Hamidreza Eivazi; Heng Fang; F. Golzar; Iolanda Leite; Gaspar Isaac Melsión; Kevin Smith 001; Francesco Fuso Nerini; et al. (CoRR, 2022)

Land Classification in Satellite Images by Injecting Traditional Features to CNN Models. - Mehmet Cagri Aksoy; Beril Sirmaçek; Cem Ünsalan (CoRR, 2022)

Editorial for Special Issue: "Remote Sensing Based Building Extraction II". - Jiaojiao Tian; Qin Yan; Mohammad Awrangjeb; Beril Kallfelz; Nusret Demir (Remote. Sens., 2023)

Integrating Traditional and Deep Learning Methods to Detect Tree Crowns in Satellite Images. - Ozan Durgut; Beril Kallfelz-Sirmacek; Cem Ünsalan (CoRR, 2025)