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Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer

https://doi.org/10.1109/tmi.2019.2923601

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DXM‐TransFuse U-net: Dual cross-modal transformer fusion U-net for automated nerve identification

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102159openalex-snapshot

C 2 BA-UNet: A context-coordination multi-atlas boundary-aware UNet-like method for PET/CT images based tumor segmentation

inferred← citeshttps://doi.org/10.1016/j.cpet.2021.06.001openalex-snapshot

Toward High-Throughput Artificial Intelligence-Based Segmentation in Oncological PET Imaging

inferred← citeshttps://doi.org/10.1016/j.cpet.2021.09.010openalex-snapshot

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging

inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105490openalex-snapshot

Recent advancements in deep learning based lung cancer detection: A systematic review

inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105744openalex-snapshot

MSE-Fusion: Weakly supervised medical image fusion with modal synthesis and enhancement

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.105955openalex-snapshot

A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET–CT Volumes

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106276openalex-snapshot

Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110442openalex-snapshot

An uncertainty-based Collaborative Weakly Supervised Segmentation Network for Positron emission tomography-Computed tomography images

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127727openalex-snapshot

Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130492openalex-snapshot

Topology-aware cross-modal learning with dynamic gradient modulation for survival prediction

inferred← citeshttps://doi.org/10.1016/j.ijrobp.2022.07.2312openalex-snapshot

Automated Lung Cancer Segmentation Using a PET and CT Dual-Modality Deep Learning Neural Network

inferred← citeshttps://doi.org/10.1016/j.image.2026.117588openalex-snapshot

DSFFNet: Multimodal medical image fusion based on Dual-stream Feature Fusion Network

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101880openalex-snapshot

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102724openalex-snapshot

Segmentation of acute ischemic stroke lesions based on deep feature fusion

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104335openalex-snapshot

Bridging multi-scale transform and sparse representation: Unified Gabor Tensor Sparse Representation for Multi-dimensional medical image fusion

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.101904openalex-snapshot

Representing uncertainty and imprecision in machine learning: A survey on belief functions

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106647openalex-snapshot

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116139openalex-snapshot

Evidence-consistent learning for multimodal stroke lesion segmentation

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116823openalex-snapshot

Attribute-modulated spatial-frequency domain learning network for cross-modality medical image synthesis

inferred← citeshttps://doi.org/10.1016/j.measen.2023.100993openalex-snapshot

Lung cancer detection via deep learning-based pyramid network with honey badger algorithm

inferred← citeshttps://doi.org/10.1016/j.medengphy.2024.104138openalex-snapshot

Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection

inferred← citeshttps://doi.org/10.1016/j.media.2020.101909openalex-snapshot

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy

inferred← citeshttps://doi.org/10.1016/j.media.2022.102656openalex-snapshot

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation

inferred← citeshttps://doi.org/10.1016/j.media.2026.103956openalex-snapshot

Anatomy-guided prompting with cross-modal self-alignment for whole-body PET-CT breast cancer segmentation

inferred← citeshttps://doi.org/10.1016/j.ndteint.2022.102724openalex-snapshot

Lift-off suppression based on combination of bridge and transformer signal conditionings of eddy current testing

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128257openalex-snapshot

Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer

inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133027openalex-snapshot

3MU-Net: A multi-layer, multi-view and multi-modal segmentation model for PET/CT images of lung tumors

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108572openalex-snapshot

AttCo: Attention-based co-Learning fusion of deep feature representation for medical image segmentation using multimodality

inferred← citeshttps://doi.org/10.1016/j.patrec.2021.10.027openalex-snapshot

Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans

inferred← citeshttps://doi.org/10.1016/j.patter.2022.100485openalex-snapshot

A fine-grained network for human identification using panoramic dental images

inferred← citeshttps://doi.org/10.1038/s41467-023-42811-4openalex-snapshot

PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer

inferred← citeshttps://doi.org/10.1038/s41598-025-27269-2openalex-snapshot

Cross-modal dual-domain bi-direction feature interaction network for medical imaging semantic segmentation

inferred← citeshttps://doi.org/10.1038/s41598-025-93662-6openalex-snapshot

A stochastic structural similarity guided approach for multi-modal medical image fusion

inferred← citeshttps://doi.org/10.1049/ipr2.12709openalex-snapshot

SACNet: Shuffling atrous convolutional U‐Net for medical image segmentation

inferred← citeshttps://doi.org/10.1063/5.0105922openalex-snapshot

Lung carcinoma detection at premature stage using deep learning techniques

inferred← citeshttps://doi.org/10.1063/5.0194202openalex-snapshot

An efficient image classification of lung nodule classification approach using CT and PET fused images

inferred← citeshttps://doi.org/10.1063/5.0208520openalex-snapshot

An optimized convolutional neural network architecture for lung cancer detection

inferred← citeshttps://doi.org/10.1063/5.0333988openalex-snapshot

U-net models for liver tumor detection

inferred← citeshttps://doi.org/10.1080/03772063.2023.2248939openalex-snapshot

An Efficient Deep Convolutional Neural Network for Automatic Detection of FDG Uptakes in Fused PET/CT Images

inferred← citeshttps://doi.org/10.1080/07357907.2025.2520610openalex-snapshot

Multi-Modal Lung Cancer Detection Using Pyramidal Cascade Neuro-Fuzzy Fractional Network

inferred← citeshttps://doi.org/10.1080/21642583.2026.2728323openalex-snapshot

SFCFuse: multimodal medical image fusion based on saliency guidance and multi-source feature interaction

inferred← citeshttps://doi.org/10.1088/1361-6560/ac299aopenalex-snapshot

EFNet: evidence fusion network for tumor segmentation from PET-CT volumes

inferred← citeshttps://doi.org/10.1088/1361-6560/ac72f0openalex-snapshot

Locoregional recurrence prediction in head and neck cancer based on multi-modality and multi-view feature expansion

inferred← citeshttps://doi.org/10.1088/1361-6560/ac994eopenalex-snapshot

Cross modality fusion for modality-specific lung tumor segmentation in PET-CT images

inferred← citeshttps://doi.org/10.1088/1361-6560/aca74copenalex-snapshot

Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentation

inferred← citeshttps://doi.org/10.1088/1361-6560/accac9openalex-snapshot

Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout

inferred← citeshttps://doi.org/10.1088/1361-6560/ad04a8openalex-snapshot

LSAM: L2-norm self-attention and latent space feature interaction for automatic 3D multi-modal head and neck tumor segmentation

inferred← citeshttps://doi.org/10.1088/1361-6560/ad7f1bopenalex-snapshot

Joint segmentation of tumors in 3D PET-CT images with a network fusing multi-view and multi-modal information

inferred← citeshttps://doi.org/10.1088/1402-4896/ae777aopenalex-snapshot

BAM-UNet: boundary-aware multimodal fusion for accurate lung tumor segmentation in PET/CT

inferred← citeshttps://doi.org/10.1088/2057-1976/ac53bdopenalex-snapshot

A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging.

inferred← citeshttps://doi.org/10.1088/2057-1976/ad6dcdopenalex-snapshot

Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation

inferred← citeshttps://doi.org/10.1093/rasti/rzad026openalex-snapshot

A multimodal celestial object classification network based on 2D spectrum and photometric image

inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528613openalex-snapshot

The Development and Application of PET/CT Imaging in Lung Cancer Diagnosis: A Review

inferred← citeshttps://doi.org/10.1109/access.2020.3018666openalex-snapshot

A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans

inferred← citeshttps://doi.org/10.1109/access.2020.3046309openalex-snapshot

Effective Breast Cancer Recognition Based on Fine-Grained Feature Selection

inferred← citeshttps://doi.org/10.1109/access.2021.3110200openalex-snapshot

AttrHIN: Network Representation Learning Method for Heterogeneous Information Network

inferred← citeshttps://doi.org/10.1109/acet67282.2025.11430247openalex-snapshot

A Comprehensive Exploration of Diagnostic Progressions in Pulmonary Disease Detection

inferred← citeshttps://doi.org/10.1109/aibthings58340.2023.10291022openalex-snapshot

A Multi-modal Approach to Lung Tumor Detection using Deep Learning

inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671960openalex-snapshot

MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation

inferred← citeshttps://doi.org/10.1109/cbms55023.2022.00058openalex-snapshot

MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning

inferred← citeshttps://doi.org/10.1109/cisat66811.2025.11181879openalex-snapshot

A PET/CT Dual-modal Breast Cancer Classification Method Based on Vision Transformer

inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033530openalex-snapshot

Enhancing Tumor Segmentation in PET-CT Scans: A Comparative Analysis of Multimodal Fusion Strategies

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01459openalex-snapshot

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images

inferred← citeshttps://doi.org/10.1109/dicta60407.2023.00018openalex-snapshot

Uncertainty-Guided Cross-Modality Semi-Supervised Learning for MRI Segmentation

inferred← citeshttps://doi.org/10.1109/embc40787.2023.10340635openalex-snapshot

Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation

inferred← citeshttps://doi.org/10.1109/i5cps67958.2026.11452296openalex-snapshot

Existing statistical measures and techniques using Artificial Intelligence and Machine Learning in diagnosis and prognosis of lung cancer using multi-modal medical images: A systematic review

inferred← citeshttps://doi.org/10.1109/icarcv50220.2020.9305364openalex-snapshot

Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460384openalex-snapshot

From HSV to Lab: Color Semantic Modulation and Perceptual Constraints in Multimodal Medical Image Fusion

inferred← citeshttps://doi.org/10.1109/icccmla58983.2023.10346826openalex-snapshot

Multimodal Medical Image Fusion Using DeepLearning Models in Fuzzy Domain

inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10726043openalex-snapshot

Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01942openalex-snapshot

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction

inferred← citeshttps://doi.org/10.1109/icerect56837.2022.10059997openalex-snapshot

Automatic Identification of Cancer Affect in Lungs Using Machine Learning Algorithm

inferred← citeshttps://doi.org/10.1109/icngcs64900.2025.11183487openalex-snapshot

AI-Driven Precision Catheter Navigation with Edge Computing for Adaptive Cancer Therapy

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533703openalex-snapshot

Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer

inferred← citeshttps://doi.org/10.1109/inc460750.2024.10649053openalex-snapshot

Deep Residual Network for Effective Lung Cancer Detection on Computed Tomography Images

inferred← citeshttps://doi.org/10.1109/incoft60753.2023.10425647openalex-snapshot

Image Fusion Using Spectral Selective Correlation In Multiband Coding For Medical Image

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3059453openalex-snapshot

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3097374openalex-snapshot

HID: The Hybrid Image Decomposition Model for MRI and CT Fusion

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3135647openalex-snapshot

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3164570openalex-snapshot

Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3186275openalex-snapshot

Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3228603openalex-snapshot

Multimodal Fusion Network for Detecting Hyperplastic Parathyroid Glands in SPECT/CT Images

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3262548openalex-snapshot

Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3270307openalex-snapshot

Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3397332openalex-snapshot

Exploring and Exploiting Multi-Modality Uncertainty for Tumor Segmentation on PET/CT

inferred← citeshttps://doi.org/10.1109/jiot.2023.3244201openalex-snapshot

Computed Tomography and 3-D Face Scan Fusion for IoT-Based Diagnostic Solutions

inferred← citeshttps://doi.org/10.1109/jsen.2025.3580100openalex-snapshot

MI2A: A Multimodal Information Interaction Architecture for Automated Diagnosis of Lung Nodules Using PET/CT Imaging

inferred← citeshttps://doi.org/10.1109/prai59366.2023.10332100openalex-snapshot

Breast Cancer Subtype Classification Based on PET/CT Bimodal Imaging Feature Fusion

inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945335openalex-snapshot

L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT

inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342995openalex-snapshot

HAF-Net: Hierarchical Attention Fusion Network for Multimodal Image Fusion

inferred← citeshttps://doi.org/10.1109/tbme.2021.3087612openalex-snapshot

C 2 MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans

inferred← citeshttps://doi.org/10.1109/tbme.2023.3297249openalex-snapshot

Location-Aware Encoding for Lesion Detection in $^{68}$Ga-DOTATATE Positron Emission Tomography Images

inferred← citeshttps://doi.org/10.1109/tcbbio.2025.3609333openalex-snapshot

A Lightweight Network With Uncertainty-Guided Latent Space Refinement for Multi-Modal Brain Tissue and Tumor Extraction

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3112551openalex-snapshot

Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3626562openalex-snapshot

FAMAFuse: Functional-Anatomical Multiscale Attention for Multimodal Image Fusion

inferred← citeshttps://doi.org/10.1109/tim.2024.3400343openalex-snapshot

Multimodality-Assisted Semi-Supervised Brain Tumor Segmentation in Nondominant Modality Based on Consistency Learning

inferred← citeshttps://doi.org/10.1109/tip.2022.3193288openalex-snapshot

MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer

inferred← citeshttps://doi.org/10.1109/tmi.2021.3056395openalex-snapshot

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

inferred← citeshttps://doi.org/10.1109/tmi.2021.3089702openalex-snapshot

Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images

inferred← citeshttps://doi.org/10.1109/tmi.2023.3275592openalex-snapshot

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting

inferred← citeshttps://doi.org/10.1109/tmi.2023.3283517openalex-snapshot

F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion

inferred← citeshttps://doi.org/10.1109/tmi.2024.3524544openalex-snapshot

Recruiting Teacher IF Modality for Nephropathy Diagnosis: A Customized Distillation Method With Attention-Based Diffusion Network

inferred← citeshttps://doi.org/10.1109/tmi.2025.3572511openalex-snapshot

GAN-Guided Few-Shot Attention Network for Medical Images Fusion Quality Assessment

inferred← citeshttps://doi.org/10.1109/tmi.2026.3686884openalex-snapshot

Clinical Knowledge-Guided PET/CT Lesion Segmentation With Interpretable Fusion of Metabolic and Structural Cues

inferred← citeshttps://doi.org/10.1109/tmm.2022.3185887openalex-snapshot

Fidelity-driven Optimization Reconstruction and Details Preserving Guided Fusion for Multi-Modality Medical Image

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3250490openalex-snapshot

Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis

inferred← citeshttps://doi.org/10.1109/tpami.2026.3705213openalex-snapshot

RAC-Net: Interpretable Medical Small Target Segmentation Network With X-Ray Radiation Attenuation Characterization

inferred← citeshttps://doi.org/10.1109/trpms.2021.3072064openalex-snapshot

Multimodality Attention-Guided 3-D Detection of Nonsmall Cell Lung Cancer in 18F-FDG PET/CT Images

inferred← citeshttps://doi.org/10.1109/trpms.2024.3417901openalex-snapshot

Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network

inferred← citeshttps://doi.org/10.1109/trpms.2026.3652592openalex-snapshot

Spatiotemporal Deformable Transformer for Lung Cancer Risk Prediction Using Low-Dose CT Images

inferred← citeshttps://doi.org/10.1117/12.2576095openalex-snapshot

Unpaired PET/CT image synthesis of liver region using CycleGAN

inferred← citeshttps://doi.org/10.1145/3573428.3573678openalex-snapshot

MAFF: Multi-scale and self-adaptive attention feature fusion network for pancreatic lesion detection in PET / CT images

inferred← citeshttps://doi.org/10.1145/3574198.3574202openalex-snapshot

Multi-modal Brain Image Segmentation Based on Multi-Encoder with Hybrid Lateral Connection (MEHLC-Net)

inferred← citeshttps://doi.org/10.1145/3613307.3613313openalex-snapshot

An Automatic Classification Framework using Multi-Modal Deep Learning for Lung Diseases

inferred← citeshttps://doi.org/10.1186/s12880-025-01971-zopenalex-snapshot

Integrating deep learning and multi-omics features in radiation pneumonitis prediction for lung cancer patients using PET/CT

inferred← citeshttps://doi.org/10.1186/s13014-025-02664-1openalex-snapshot

Automatic cervical tumors segmentation in PET/MRI by parallel encoder U-net

inferred← citeshttps://doi.org/10.1186/s40658-023-00605-zopenalex-snapshot

Reducing pediatric total-body PET/CT imaging scan time with multimodal artificial intelligence technology

inferred← citeshttps://doi.org/10.1186/s40658-024-00670-yopenalex-snapshot

Multi-modal co-learning with attention mechanism for head and neck tumor segmentation on 18FDG PET-CT

showing the first 200 of 238

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