Search Results - "Visvikis, D."

Multicenter Radiomic Feature-Based Prediction of PD-L1 Status in Lung Cancer Using Multimodal PET/CT

Da-Ano, R., Tankyevych, O., Lemee, N., Stamouli, I., Kagadis, G., Kalathas, T., Shi, K., Hu, J., Wang, H., Le Rest, C. Cheze, Visvikis, D.

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

Instance-Aware Deep Learning for Liver Metastasis Segmentation

Abbas, M., Andrade-Miranda, G., Jaouen, V., Bourbonne, V., Bert, J., Visvikis, D., Badic, B., Conze, P.-H.

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

Advancing Treatment Response Assessment of Hepatic Metastases Using AI-Driven Volumetric Analysis

Abbas, M., Andrade-Miranda, G., Bourbonne, V., Jaouen, V., Bert, J., Aparicio, T., Visvikis, D., Badic, B., Conze, P.-H.

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

Multibranch Generative Models for Multichannel Imaging With an Application to PET/CT Synergistic Reconstruction

Pinton, N.J., Bousse, A., Cheze-Le-Rest, C., Visvikis, D.

Cross-Modal Tumor Segmentation Using Generative Blending Augmentation and Self-Training

Salle, G., Andrade-Miranda, G., Conze, P., Boussion, N., Bert, J., Visvikis, D., Jaouen, V.

One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency

Jaouen, V., Conze, P.-H., Visvikis, D.

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Learning Transferability in Deep Segmentation of Liver Metastases

Abbas, M., Andrade-Miranda, G., Bourbonne, V., Visvikis, D., Badic, B., Conze, P.-H.

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer

Da-Ano, R., Tankyevych, O., Andrade-Miranda, G., Conze, P.-H., Le Rest, C. Cheze, Visvikis, D.

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Deep Vessel Segmentation with Joint Multi-Prior Encoding

Sadikine, A., Badic, B., Ferrante, E., Noblet, V., Ballet, P., Visvikis, D., Conze, P.-H.

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Semi-Supervised and Unsupervised Deep Learning Combination for Automated PDL-1 Status Prediction in Lung Cancer with Multi-modal PET/CT Fusion

Da-Ano, R., Tankyevych, O., Rest, C. Cheze Le, Visvikis, D.

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches

Bousse, A., Kandarpa, V.S.S., Shi, K., Gong, K., Lee, J.S., Liu, C., Visvikis, D.

Pre-therapy dose prediction in targeted radionuclide therapy using semi-supervised learning: An in-silico preliminary study

Zhang, J., Bousse, A., Li, Y., Xue, S., Shi, K., Visvikis, D., Bert, J.

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Deep Learning Approach for Positron Range Correction in PET Image Reconstruction

Merlin, T., Visvikis, D.

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

One Linear Layer is all you Need for Positron Range Estimation and Correction

Mellak, Y., Bousse, A., Merlin, T., Emond, E., Visvikis, D.

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Detector-Pixel Interactions via Transformer Encoders: A Direct Approach for PET Image Reconstruction

Mellak, Y., Bousse, A., Merlin, T., Laurent, B., Visvikis, D.

2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)

Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins

Wang, Z., Bousse, A., Vermet, F., Froment, J., Vedel, B., Perelli, A., Tasu, J., Visvikis, D.

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation

Sadikine, A., Badic, B., Tasu, J.-P., Noblet, V, Ballet, P, Visvikis, D., Conze, P.-H.

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Current and Emerging Trends in Medical Image Segmentation With Deep Learning

Conze, P., Andrade-Miranda, G., Singh, V.K., Jaouen, V., Visvikis, D.

Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation

Sadikine, A., Badic, B., Tasu, J.-P., Noblet, V., Visvikis, D., Conze, P.-H.

2022 IEEE International Conference on Image Processing (ICIP)

Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study

Andrade-Miranda, G., Jaouen, V., Bourbonne, V., Lucia, F., Visvikis, D., Conze, P.-H.

2022 IEEE International Conference on Image Processing (ICIP)