Machine Learning for Biomedical Imaging (@MELBAJournal) header
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Open-access, independent, minimum fee journal. Co-founded by @arbtal,@ja_schnabel,@mertrory,@wmwells3,@MarcNiethammer,@adriandalca

Joined January 2020
Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)Photo by Machine Learning for Biomedical Imaging (@MELBAJournal)
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🚨 New publication alert: 📢 ”Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar Vertebrae.” 🖊️ M Nohel, V Valek, K Krejci, R Jakubicek, M Dostal, J Chmelik. ⬇️
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🎯 Authors introduce a dataset of 72 dual-energy CT scans with expert-validated vertebral bone segmentations, supporting AI-based segmentation, quantitative bone analysis, and multiple myeloma research. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”A clinical brain MRI dataset of polymicrogyria in patients suspected of epilepsy.” 🖊️ L Coll, A Shafique, H Kaas, M Prener, L Hageman Pinborg, G Moos Knudsen, M Ganz. ⬇️
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🎯 Authors introduce PMG-BrainDrugs, the first public brain MRI dataset of polymicrogyria (PMG) spanning all age groups, with 208 subjects and expert lesion annotations, supporting cortical malformations detection. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels.” 🖊️ X Xiang, S Hao, F Wang, J Ma, C Lian. ⬇️
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🎯 Authors introduce BraTS-GLI Anatomy-Lesion, a dataset of 1,251 unified brain MRI annotations covering tumor regions, healthy tissues, and white matter hyperintensities, improving detection of coexisting abnormalities. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”PRECISE: Benchmarking digital pathology with expert-annotated contiguous IHC–H&E serial prostate sections.” 🖊️ A K Calapaquı́ Terán, A A González Bernad, M Cobo Cano, ..., R C Delgado Bolton, J M Calvo, J J Gómez Román, L L Iglesias. ⬇️
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🎯 Authors introduce a prostate histopathology dataset with paired H&E and immunohistochemistry images and over 24,000 expert annotations across seven tissue classes, supporting segmentation and AI-assisted prostate cancer diagnosis. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology.” 🖊️ M Forootan, M Setayeshfar, A Darvishi, M Tashakoripour, H Bolhasani. ⬇️
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🎯 Authors introduce a public multimodal endoscopy dataset for gastric intestinal metaplasia detection, featuring images and videos from 24 patients, with histopathologically confirmed diagnoses and detailed clinical annotations. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”Scent of Health (S-OH): Olfactory Multivariate Time Series Dataset for Non-Invasive Disease Screening.” 🖊️ I Poddiakov, I Kruzhilov, G Zubkova, S Erofeeva, A Savchenko, P Blinov. ⬇️
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🎯 Authors introduce a large-scale dataset of electronic nose recordings from 1,234 patients across nine diagnostic groups, supporting AI research in non-invasive breath-based disease screening, sensor drift, and cross-site generalization. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”TRACE: Tissue and Report Atlas of Computational Embeddings.” 🖊️ S Thakur, S Kachole, S Bakas. ⬇️
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🎯 Authors a large-scale atlas of standardized pathology image and clinical report embeddings from TCGA and CPTAC, providing multi-scale, multi-model representations with metadata for reproducible computational pathology research. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”A multi-site loiasis dataset of whole blood videos.” 🖊️ L Djune-Yemeli, R Zoleko-Manego, C B Delahunt, D F Fankam, Y Y Nzeuhang, ..., E Spencer, D Banik, M D Keller, K N Fisher, D A Fletcher, I I Bogoch, A-L Le Ny, S Deda David, J Kamgno. ⬇️
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🚨 New publication alert: 📢 ”RCC-AID: Renal Cell Carcinoma AI Dataset for Medical Imaging Research.” 🖊️ S de Boer, H Häntze, S Ziegelmayer, T Russo, B van Ginneken, M Prokop, K Bressem, A Hering. ⬇️
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🎯 Authors introduce a public dataset of 129 CT scans from 91 patients with renal cell carcinoma, featuring voxel-level annotations of kidneys, tumors, and cysts, supporting segmentation, detection, and classification tasks. 🔎 Free to read: doi.org/10.59275/j.melba.202…
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🚨 New publication alert: 📢 ”CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking.” 🖊️ A G Leclerq, N N Moreau, H Audebert, A Nassar, T Cochin, ..., J Lacroix, R Rouzier, A Corroyer-Dulmont ⬇️
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