Gustavo ANDRADE MIRANDA
- Systèmes Complexes et Intelligence Artificielle (SyCoIA - IMT Mines Alès)
- IMT MINES ALÈS
Présentation
I am an Associate Professor (Maître de Conférences) at IMT Mines Alès. My research focuses on image processing, computer vision, and deep learning, with a particular interest in extracting biomarkers from physiological and pathological data. I work on multimodal learning and the use of foundation models to support clinical decision-making, especially in oncology. A key part of my work involves improving the interpretability and explainability of AI models to make them usable in real clinical settings. My website includes further details on ongoing projects and publications - https://andrade-miranda.github.io/
Publications
Publications
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Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion ModelingISBI 2026 - IEEE International Symposium on Biomedical Imaging, Apr 2026, London, United Kingdom. pp.1-4, ⟨10.1109/ISBI61048.2026.11515893⟩ |
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MRI-WSI registration for spatially consistency in multimodal ovarian cancer analysisRFIAP 2026 - Reconnaissance des Formes, Image, Apprentissage et Perception, SSFAM (Société Savante Française d'Apprentissage Machine) and AFRIF (Association Française pour la Reconnaissance et l'Interprétation des Formes), Jul 2026, Montpellier, France |
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PI-RADS inspired architecture: A new deep learning approach to detect clinically significant prostate cancer on MRIIEEE International Symposium on Biomedical Imaging, Apr 2025, Houston, United States. ⟨10.1109/ISBI60581.2025.10980749⟩ |
Advancing treatment response assessment of hepatic metastases using AI-driven volumetric analysisISBI 2025: IEEE 22nd International Symposium on Biomedical Imaging, Apr 2025, Houston, United States. ⟨10.1109/ISBI60581.2025.10981055⟩ |
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Instance-aware deep learning for liver metastasis segmentationISBI 2025: IEEE 22nd International Symposium on Biomedical Imaging, Apr 2025, Houston, United States. ⟨10.1109/ISBI60581.2025.10980698⟩ |
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Optimal Prompting in SAM for Few-Shot and Weakly Supervised Medical Image SegmentationWorkshop MICCAI, Foundation Models for General Medical AI, Oct 2024, Maroco, France. pp.103-112, ⟨10.1007/978-3-031-73471-7_11⟩ |
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Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent FieldISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Nov 2024, Belém, Brazil. pp.387-395, ⟨10.5194/isprs-annals-X-3-2024-387-2024⟩ |
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Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical BiomesISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Nov 2024, Belem, Brazil. pp.519 - 525, ⟨10.5194/isprs-archives-xlviii-3-2024-519-2024⟩ |
Multi-modal PET/CT fusion for automated PD-L1 status prediction in lung cancerISBI 2024: IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece. ⟨10.1109/ISBI56570.2024.10635750⟩ |
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Prediction of Acute Pulmonary Toxicity Events with 3D Convolutional Neural Networks from Radiotherapy Dose MapsICCR 2024: XXth International Conference on the use of Computers in Radiation therapy, Jul 2024, Lyon, France |
Learning transferability in deep segmentation of liver metastasesISBI 2024: IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece. ⟨10.1109/ISBI56570.2024.10635479⟩ |
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Pure versus hybrid Transformers for multi-modal brain tumor segmentation: a comparative studyIEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897658⟩ |
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Comparing modern segmentation architectures under low data regime for PET-CT tumor segmentationNSM MIC 2022: IEEE Nuclear science symposium and medical imaging conference, Nov 2022, Milan, Italy |
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Optical-flow kymograms and glottovibrograms : a new way to present highspeed data for laryngeal assessmentMAVEBA 2015 - 9th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Sep 2015, Florence, Italy. ⟨10.36253/978-88-6655-793-7⟩ |
A new technique for assessing glottal dynamics in speech and singing by means of optical-flow computationInterspeech 2015 - 16th Annual Conference of the International Speech Communication Association, Sep 2015, Dresden, Germany |
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Automatic glottal tracking from high-speed digital images using a continuous normalized cross correlationInterspeech 2013, Aug 2013, Lyon, France. pp.1144-1148, ⟨10.21437/Interspeech.2013-312⟩ |
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Vocal Folds Dynamics by Means of Optical Flow Techniques: A Review of the MethodsAdvances in Signal Processing: Reviews, 2018, 978-8409043293 |
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Analyzing of the vocal fold dynamics using laryngeal videosSignal and Image Processing. Universidad Politécnica de Madrid, 2017. English. ⟨NNT : ⟩ |