:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Binwu, Rodriguez, Isaac, Breitinger, Leon, Tollens, Fabian, Itzel, Timo, Grimm, Dennis, Sirazitdinov, Andrei, Frölich, Matthias, Schönberg, Stefan, Teufel, Andreas, Hesser, Jürgen, Zhao, Wenzhao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2501.11535
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
by: Spooner, Annette, et al.
Published: (2024)

Proteomics for the early diagnosis and treatment of hepatocellular carcinoma
by: VIJAY KUMAR
Published: (2007)

The cell death‐related genes machine learning model for precise therapy and clinical drug selection in hepatocellular carcinoma
by: Mingyang Du, et al.
Published: (2024)

TPA: Two‐stage progressive attention segmentation framework for hepatocellular carcinoma on multi‐modality MRI
by: Lei Gao, et al.
Published: (2024)

Plasma metabolomic profiling for hepatocellular carcinoma diagnosis and microvascular invasion prediction
by: Fei Huang, et al.
Published: (2025)

Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature
by: Odysseas P. Chatzipanagiotou, et al.
Published: (2024)

MRI for hepatocellular carcinoma and the role of abbreviated MRI for surveillance of hepatocellular carcinoma
by: Soe Thiha Maung, et al.
Published: (2024)

Deep learning‐based accurate diagnosis and quantitative evaluation of microvascular invasion in hepatocellular carcinoma on whole‐slide histopathology images
by: Xiuming Zhang, et al.
Published: (2024)

Exosomal mRNA in plasma serves as a predictive marker for microvascular invasion in hepatocellular carcinoma
by: Zhaodan Xin, et al.
Published: (2024)

Epidemiology of hepatocellular carcinoma
by: RAYMUNDO PARANÁ
Published: (2007)

Methylation in hepatocellular carcinoma
by: REGINA M. SANTELLA
Published: (2007)

Random feature baselines provide distributional performance and feature selection benchmarks for clinical and 'omic machine learning
by: Ellis, Randall J., et al.
Published: (2024)

Clinical value of serumAFPandPIVKA‐IIfor diagnosis, treatment and prognosis of hepatocellular carcinoma
by: Yujiao Jin, et al.
Published: (2024)

Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning
by: Lauritz F. Brorsen, et al.
Published: (2024)

Alchemical harmonic approximation based potential for iso-electronic diatomics: Foundational baseline for $Δ$-machine learning
by: Krug, Simon León, et al.
Published: (2024)

Comentário VII
by: José Lavaquial Breitinger
Published: (2004)

Comparative analysis of traditional machine learning and automated machine learning: advancing inverted papilloma versus associated squamous cell carcinoma diagnosis
by: Farideh Hosseinzadeh, et al.
Published: (2024)

Recent advances in systemic therapies for unresectable hepatocellular carcinoma and their impact on clinical outcomes
by: Kyoko Oura
Published: (2025)

Distance Education for Doctoral Students: An Overview of the National Cluster Format for Students in the Doctoral Program for Child and Youth Studies.
by: Hesser, Lois Ann
Published: (1995)

Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients
by: Jiaxuan Sun, et al.
Published: (2024)

Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
by: Zhao, Wenzhao, et al.
Published: (2023)

It's 2025 -- Narrative Learning is the new baseline to beat for explainable machine learning
by: Baker, Gregory D.
Published: (2025)

Cross-modal ultra-scale learning with tri-modalities of renal biopsy images for glomerular multi-disease auxiliary diagnosis
by: Long, Kaixing, et al.
Published: (2025)

Hepatitis infections, aflatoxin and hepatocellular carcinoma
by: PIERRE HAINAUT
Published: (2007)

Immunosupression in liver transplant for hepatocellular carcinoma
by: JUAN-CARLOS RESTREPO
Published: (2007)

Delta virus infection and hepatocellular carcinoma
by: Maurizio Bonacini
Published: (2024)

Intrahepatic splenosis mimicking hepatocellular carcinoma
by: Martina Rosi, et al.
Published: (2024)

Clinical and laboratory features of hepatocellular carcinoma
by: MARIA C. LONDOÑO
Published: (2007)

Theranostic nanoplatform for high‐performance dual‐modal magnetic resonance imaging‐guided therapy of orthotopic hepatocellular carcinoma
by: Jiayin Lin, et al.
Published: (2026)

Systemic therapies in hepatocellular carcinoma: A revolution?
by: Marta Fortuny, et al.
Published: (2024)

Sister Mary Joseph's nodule in hepatocellular carcinoma
by: Arpit Shastri, et al.
Published: (2024)

Emerging nanomedicine strategies for hepatocellular carcinoma therapy
by: Chen Guo, et al.
Published: (2024)

Opportunities to improve surveillance of hepatocellular carcinoma in Australia
by: Jess Howell, et al.
Published: (2025)

A clinical‐radiomic‐pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection
by: Qu Xie, et al.
Published: (2024)

Linkage disequilibrium score regression identifies genetic correlations between hepatocellular carcinoma and clinically relevant traits
by: Younghun Han, et al.
Published: (2025)

Comprehensive review and updated analysis of DNA methylation in hepatocellular carcinoma: From basic research to clinical application
by: Lin Su, et al.
Published: (2024)

Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases
by: Zhao, Wenzhao, et al.
Published: (2024)

Deep learning for precise diagnosis and subtype triage of drug‐resistant tuberculosis on chest computed tomography
by: Shufan Liang, et al.
Published: (2024)

Identification of macrotrabecular‐massive hepatocellular carcinoma through multiphasic CT‐based representation learning method
by: Zhenyang Zhang, et al.
Published: (2024)

Comparison of six hepatocellular carcinoma prediction models in Japanese patients after sustained virologic response undergoing rigorous surveillance for hepatocellular carcinoma
by: Hidenori Toyoda, et al.
Published: (2024)