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      Orthanc  

      LIGHTWEIGHT DICOM SERVER FOR MEDICAL IMAGING

      Orthanc is an open-source DICOM server for storing, managing, and sharing medical images. It provides a web interface and REST API for workflow automation and integration in medical imaging and research environments.

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      HerdNet  

      DEEP LEARNING FOR AERIAL WILDLIFE MONITORING

      HerdNet is an open-source deep learning framework developed for the precise detection, identification and counting of African mammals in aerial imagery. Designed to assist researchers and conservationists, it leverages convolutional neural networks to analyze high-resolution aerial photographs, facilitating wildlife monitoring and ecological studies.

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      Humanomics  

      GENOMIC VARIANT DETECTION

      Humanomics is a comprehensive software pipeline developed by the Bioinformatics (BIF) group at CHU Liège, designed to facilitate the detection of genetic variations—specifically single nucleotide polymorphisms (SNPs) and insertions or deletions (INDELs)—from short-read high-throughput DNA sequencing data. 

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      ZRect3D  

      ELEVATION CORRECTION FOR CITYJSON

      ZRect3D is an open-source Command-Line Interface (CLI) application developed to automatically correct the ground-floor elevation of buildings in 3D city models.

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      Optim3D  

      GENERATE 3D BUILDINGS FROM LIDAR DATA

      Optim3D is an open-source Command-Line Interface (CLI) application designed for the efficient and scalable generation of large-scale 3D building models. 

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      PASE  

      SIMULATING AGRIVOLTAICS PERFORMANCE

      The Python Agrivoltaics Simulation Environment (PASE) is a specialized software framework developed to model and analyze agrivoltaic systems, which integrate agricultural production with photovoltaic energy generation.

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      Cytomine  

      COLLABORATIVE BIOMEDICAL IMAGE ANALYSIS

      Cytomine is an open-source web platform designed for the collaborative analysis of large-scale biomedical images. It facilitates seamless sharing, annotation, and processing of multi-gigapixel images, making it a valuable tool for researchers, educators, and clinicians.

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