Saved in:
| Main Authors: | Mrs. M. Sujana Priyadarshini, Vinnakoti Sakyavardhan |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19062217 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NeuroAssist: A Hybrid SEMoNet Framework for Brain Tumour Classification From MRI With Patient‐Centred Conversational Support
by: Fahad Ahmad, et al.
Published: (2026)
by: Fahad Ahmad, et al.
Published: (2026)
An Efficient Deep Learning Model for Multiclass Brain Tumor Classification Using MRI Images With Triple Explainability
by: Kashif Mazhar, et al.
Published: (2026)
by: Kashif Mazhar, et al.
Published: (2026)
TumorXAI: Self-Supervised Deep Learning Framework for Explainable Brain MRI Tumor Classification
by: Zahin, Abrar Hossain, et al.
Published: (2026)
by: Zahin, Abrar Hossain, et al.
Published: (2026)
Explainable AI: A Combined XAI Framework for Explaining Brain Tumour Detection Models
by: McGonagle, Patrick, et al.
Published: (2026)
by: McGonagle, Patrick, et al.
Published: (2026)
From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
by: Gupta, Rajan Das, et al.
Published: (2025)
by: Gupta, Rajan Das, et al.
Published: (2025)
A Self‐Healing Conductive PVP/SUM Hydrogel for Real‐Time Human Motion Detection
by: Vinnakoti Meghana, et al.
Published: (2025)
by: Vinnakoti Meghana, et al.
Published: (2025)
Brain Tumor Classification from MRI Scans via Transfer Learning and Enhanced Feature Representation
by: Emran, Ahta-Shamul Hoque, et al.
Published: (2025)
by: Emran, Ahta-Shamul Hoque, et al.
Published: (2025)
EA‐Net: Edge Attention Network for Brain Tumour Segmentation in MRI
by: Meng Fansheng, et al.
Published: (2026)
by: Meng Fansheng, et al.
Published: (2026)
NeuroScanXNet: An Explainable CNN Framework for Brain Tumor Classification with Grad-CAM Consistency Analysis and Mini-RAG Diagnostic Reporting
by: Rasika, Yogesh Talwar, et al.
Published: (2026)
by: Rasika, Yogesh Talwar, et al.
Published: (2026)
An Ensemble CNN With Bayesian Learning Model for Multiclass Classification of Brain Disease Using Adaptive Refinement Network‐Based Segmentation
by: Alampally Sreedevi, et al.
Published: (2025)
by: Alampally Sreedevi, et al.
Published: (2025)
RETRACTION: MultiFeNet: Multi‐scale Feature Scaling in Deep Neural Network for the Brain Tumour Classification in MRI Images
Published: (2026)
Published: (2026)
OkanNet: A Lightweight Deep Learning Architecture for Classification of Brain Tumor from MRI Images
by: Uçar, Okan, et al.
Published: (2026)
by: Uçar, Okan, et al.
Published: (2026)
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
by: Sarker, Shuvashis
Published: (2025)
by: Sarker, Shuvashis
Published: (2025)
AI-Based Computer Vision System For Intelligent Rice Quality Classification Using Deep Learning And XAI
by: Mrs.P.Lakshmi Satya, et al.
Published: (2026)
by: Mrs.P.Lakshmi Satya, et al.
Published: (2026)
Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems
by: Amar Singh, et al.
Published: (2024)
by: Amar Singh, et al.
Published: (2024)
Multiclass Classification of Tomato Leaf Diseases Using Convolutional Neural Networks and Transfer Learning
by: K. M. Vivek Anandh, et al.
Published: (2024)
by: K. M. Vivek Anandh, et al.
Published: (2024)
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans
by: Song, Hongkang, et al.
Published: (2024)
by: Song, Hongkang, et al.
Published: (2024)
MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
by: Yurdakul, Mustafa, et al.
Published: (2025)
by: Yurdakul, Mustafa, et al.
Published: (2025)
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
Hierarchical Deep Feature Fusion and Ensemble Learning for Enhanced Brain Tumor MRI Classification
by: Ullah, Zahid, et al.
Published: (2025)
by: Ullah, Zahid, et al.
Published: (2025)
Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification
by: Coluzzi, Davide, et al.
Published: (2023)
by: Coluzzi, Davide, et al.
Published: (2023)
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
by: Ludwig, Connor, et al.
Published: (2025)
by: Ludwig, Connor, et al.
Published: (2025)
venkateshwarlu-bondu/QuantumNeuroXAI: QuantumNeuroXAI v1.1: Repository Cleanup and File Corrections
by: venkateshwarlu-bondu
Published: (2026)
by: venkateshwarlu-bondu
Published: (2026)
CrackMorph-XAI-Net: A Topology-Preserving and Explainable Framework for Automated Crack Morphology
by: Ajjarapu, Sri Surya Pravallika, et al.
Published: (2026)
by: Ajjarapu, Sri Surya Pravallika, et al.
Published: (2026)
Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
by: Das, Sayan, et al.
Published: (2025)
by: Das, Sayan, et al.
Published: (2025)
Biomolecule‐assisted synthesis of magnetic biochar from betel nut husk and iron ore tailings: characterization and arsenic elimination studies
by: Rutuja T Kamble, et al.
Published: (2025)
by: Rutuja T Kamble, et al.
Published: (2025)
Fuzzy Logic-Based System for Brain Tumour Detection and Classification
by: Narasimham, NVSL, et al.
Published: (2024)
by: Narasimham, NVSL, et al.
Published: (2024)
Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning
by: Onah, Daniel, et al.
Published: (2025)
by: Onah, Daniel, et al.
Published: (2025)
Brain Tumor Classification From MRI Images Using Machine Learning
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI
by: Jalal, Wasif, et al.
Published: (2025)
by: Jalal, Wasif, et al.
Published: (2025)
Efficient Brain Extraction of MRI Scans with Mild to Moderate Neuropathology
by: Thrastarson, Hjalti, et al.
Published: (2026)
by: Thrastarson, Hjalti, et al.
Published: (2026)
Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
by: Mandel, Jonathan I., et al.
Published: (2025)
by: Mandel, Jonathan I., et al.
Published: (2025)
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
SemiXAI-Net
by: TAHIR, HASSAM
Published: (2025)
by: TAHIR, HASSAM
Published: (2025)
Hybrid Quantum-Classical Learning for Multiclass Image Classification
by: Anwar, Shuchismita, et al.
Published: (2025)
by: Anwar, Shuchismita, et al.
Published: (2025)
Melanoma Classification Through Deep Ensemble Learning and Explainable AI
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy
by: Kapoor, Rishit, et al.
Published: (2024)
by: Kapoor, Rishit, et al.
Published: (2024)
Brain tumor classification for combining the advantages of multilayer dense net‐based feature extraction and hyper‐parameters tuned attentive dual residual generative adversarial network classifier using wild horse optimization
by: Shenbagarajan Anantharajan, et al.
Published: (2024)
by: Shenbagarajan Anantharajan, et al.
Published: (2024)
Explainable Deep Learning for Multi‐Cohort Alzheimer's Disease Classification using MRI: Insights into Pathological Brain Regions
by: Gia Minh Hoang, et al.
Published: (2025)
by: Gia Minh Hoang, et al.
Published: (2025)
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)
by: Ifty, Tanzina Taher, et al.
Published: (2024)
Similar Items
-
NeuroAssist: A Hybrid SEMoNet Framework for Brain Tumour Classification From MRI With Patient‐Centred Conversational Support
by: Fahad Ahmad, et al.
Published: (2026) -
An Efficient Deep Learning Model for Multiclass Brain Tumor Classification Using MRI Images With Triple Explainability
by: Kashif Mazhar, et al.
Published: (2026) -
TumorXAI: Self-Supervised Deep Learning Framework for Explainable Brain MRI Tumor Classification
by: Zahin, Abrar Hossain, et al.
Published: (2026) -
Explainable AI: A Combined XAI Framework for Explaining Brain Tumour Detection Models
by: McGonagle, Patrick, et al.
Published: (2026) -
From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
by: Gupta, Rajan Das, et al.
Published: (2025)