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perfusion

MedOtter /Myocardial-Perfusion-SPECT Myocardial-Perfusion-SPECT 83 patients scanned Feb-Mar 2023 at Hospital Israelita Albert Einstein, Sao Paulo, on a GE Discovery NM 530c CZT gamma camera under a rest-only 99mTc-MIBI protocol; ages 20-90, ~88% male, coronary artery disease evaluation. The release ships 103 studies as multiframe DICOM NM objects (70x70x50 at 4x4x4 mm) plus 101 NIfTI left-ventricular-wall masks, and NO NIfTI image volumes despite upstream's data_description.txt calling them '101 NIfTI volumes (with… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/Myocardial-Perfusion-SPECT.imagen<1K0 likes72 downloads8d agoHugging FaceClarusC64 /clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1 What this repo does This dataset models the transition from compensated trauma physiology to systemic deterioration using a four-variable coupling structure. The goal is to detect when trauma patients are drifting toward hemodynamic collapse before overt shock or organ failure occurs. Trauma deterioration often unfolds as a cascade: perfusion declines, physiological reserves are consumed, treatment delays amplify instability, and organ systems begin to couple into systemic failure.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.1.tabulartext-classificationn<1K0 likes25 downloads7mo agoHugging FaceClarusC64 /clinical-latent-cross-coupling-perfusion-metabolic-collapse-v0.2 Clinical Latent Cross Coupling Perfusion Metabolic Collapse v0.2 What this is A small dataset that tests one question: Can you detect when a perfusion-metabolic system is moving toward hidden collapse, not just carrying visible strain? This repo focuses on latent cross coupling between perfusion stability and metabolic buffering. It models a system where: perfusion stability may weaken metabolic buffer capacity may erode latent coupling pressure may rise compensation… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-latent-cross-coupling-perfusion-metabolic-collapse-v0.2.tabulartext-classificationn<1K0 likes19 downloads6mo agoHugging FaceClarusC64 /clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5 What this repo does This repository provides a Clarus v0.5 cascade recovery geometry dataset for trauma deterioration. Earlier Clarus datasets focused on detecting cascade states and identifying instability boundaries.Version v0.5 introduces a recovery geometry layer that asks a deeper question: Can the system still return to stability? The task is binary classification over trauma-linked deterioration states using: • a four-variable clinical quad• trajectory dynamics• boundary… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.5.tabulartext-classificationn<1K0 likes18 downloads7mo agoHugging FaceClarusC64 /clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.7 What this repo does This repository contains a Clarus v0.7 dataset modeling trauma deterioration using a quad-coupling system representation. The dataset extends the v0.6 intervention layer by introducing uncertainty geometry. The question addressed by earlier versions was: Can the system be stabilized? v0.7 adds a second critical question: How confident are we in that conclusion? This allows Clarus to distinguish three operational states: • confident deterioration • confident… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.7.tabulartext-classificationn<1K0 likes16 downloads6mo agoHugging FaceClarusC64 /clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.2 What this repo does This dataset evaluates whether machine learning models can detect clinical deterioration trajectories using both system state and system motion. Earlier Clarus datasets (v0.1) describe system position in state space. Clarus v0.2 datasets introduce a trajectory signal that indicates where the system is moving next. The dataset therefore tests whether models can detect approaching instability even when the current state appears stable. Core quad… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-perfusion-buffer-lag-coupling-trauma-deterioration-v0.2.tabulartext-classificationn<1K0 likes14 downloads7mo agoHugging Face