On the public citation graph
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum
0 signed · 19 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jmri.26883openalex-snapshot
MRI of the Placenta Accreta Spectrum (PAS) Disorder: Radiomics Analysis Correlates With Surgical and Pathological Outcome
inferredcites →https://doi.org/10.1007/978-3-662-25615-2_3openalex-snapshot
Unusual Shapes of the Placenta. Placenta Accreta
inferredcites →https://doi.org/10.1016/j.ajog.2007.03.026openalex-snapshot
Planned vs emergent cesarean hysterectomy
inferredcites →https://doi.org/10.1016/j.bpobgyn.2020.06.007openalex-snapshot
A comparison of recent guidelines in the diagnosis and management of placenta accreta spectrum disorders
inferredcites →https://doi.org/10.1016/s0730-725x(99)00035-1openalex-snapshot
MRI appearance of placenta percreta and placenta accreta
inferredcites →https://doi.org/10.1097/md.0000000000007930openalex-snapshot
On opportunity for emergency cesarean hysterectomy and pregnancy outcomes of patients with placenta accreta
inferredcites →https://doi.org/10.1158/0008-5472.can-17-0339openalex-snapshot
Computational Radiomics System to Decode the Radiographic Phenotype
inferredcites →https://doi.org/10.1371/journal.pone.0211060openalex-snapshot
Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study
inferredcites →https://doi.org/10.4297/najmsopenalex-snapshot
North American Journal of Medical Sciences
inferredcites →https://doi.org/10.4297/najms.openalex-snapshot
North American Journal of Medical Sciences
inferredcites →https://doi.org/10.4297/najms.2011.358openalex-snapshot
Emergency peripartum hysterectomy: Incidence, indications, risk factors and outcome
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4892872openalex-extracted
Automated Detection of Pancreatic Cancer with Segmentation and Classification Using Fusion of Unet and Cnn Through Spider Monkey Optimization
inferred← citeshttps://doi.org/10.1007/978-3-031-43987-2_12openalex-snapshot
Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-7425-4_35openalex-snapshot
Placenta Accreta Spectrum Detection Using an MRI-Based Hybrid CNN-Transformer Model
inferred← citeshttps://doi.org/10.1016/j.acra.2024.09.045openalex-snapshot
Magnetic Resonance Imaging-Based Radiomics of Axial and Sagittal Orientation in Pregnant Patients with Suspected Placenta Accreta Spectrum
inferred← citeshttps://doi.org/10.1016/j.patter.2024.101097openalex-snapshot
Cross-modal contrastive learning for unified placenta analysis using photographs
inferred← citeshttps://doi.org/10.1117/1.jmi.12.2.024502openalex-snapshot
Ensemble of fine-tuned machine learning models for hysterectomy prediction in pregnant women using magnetic resonance images
inferred← citeshttps://doi.org/10.1186/s12884-026-09494-3openalex-snapshot
Roles and applications of artificial intelligence in fetal and placental MRI: a literature review
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.