Robustness of Deep Learning Segmentation Across Heterogeneous Uterine MRI Datasets: A Multi-Task Comparison of U-Net, Swin-UNETR, MedNeXt, and nnU-Net
Daniel A. Di Giovanni, Akiyo Takada, Evan McNabb, Jérémy Dana et autres
0 citationsmedRxiv
Martin Vallières
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124Publications signalées
10780Citations signalées
3Affiliations récentes
Institutions déclarées
Domaines associés
Radiomics and Machine Learning in Medical ImagingAI in cancer detectionMedical Imaging Techniques and ApplicationsAdvanced X-ray and CT ImagingLung Cancer Diagnosis and Treatment
Publications récentes
Limited-site adaptation reveals representation-specific MRI transportability for lymphovascular invasion in endometrial cancer
Daniel A. Di Giovanni, Akiyo Tanaka, Takuro Horikoshi, Takahiro Tsuboyama et autres
0 citationsmedRxiv
Radiomic prediction of substantial LVSI in endometrial cancer using reduced field of view DWI- a feasibility study
Akiyo Takada, Daniel A. Di Giovanni, Takuro Horikoshi, Takahiro Tsuboyama et autres
0 citationsEuropean Journal of Radiology
Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I)
Olivier Lefebvre, Félix Camirand Lemyre, Jean‐François Éthier, lyna Hiba Chikouche et autres
0 citationsJournal of the American Medical Informatics Association
Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics
Teodora Boblea Podasca, Mahdi Ait Lhaj Loutfi, Marc-Antoine Blais, Marie-Lou Gadoury-Campbell et autres
0 citationsWorld Journal of Urology
Beyond single-run metrics with CP-fuse: A rigorous multi-cohort evaluation of clinico-pathological fusion for improved survival prediction in TCGA
Juan A. Durán, Yujing Zou, Martin Vallières, Shirin A. Enger
0 citationsMachine Learning with Applications
Population-Graph Post-hoc Correction of Survival Predictions for Improved Risk Stratification
Oriane Thiery, Mira Rizkallah, Hakima Laribi, Martin Vallières et autres
0 citationsLecture notes in computer science
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction
Numan Saeed, Salma Hassan, Shahad Hardan, A. Abou El-Azm Aly et autres
0 citationsarXiv (Cornell University)
Predictive Performance Precision Analysis in Medicine: Identification of low-confidence predictions at patient and profile levels (MED3pa I)
Félix Camirand Lemyre, Jean‐François Éthier, lyna Hiba Chikouche, Ludmila Amriou et autres
0 citationsmedRxiv
Abstract A059: CP-Fuse: A Comprehensive Assessment of Clinico-Pathological Fusion in TCGA Survival Prediction
Juan A. Durán, Yujing Zou, Harry Glickman, Elliot Wadge et autres
0 citationsClinical Cancer Research
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos et autres
14 citationsNature Communications
2983 Contrastive Learning Guided by Clinical Risk Scores Enhances WSI-Based Progression-Free Survival Prediction in Head and Neck Cancer
Juanita Duran, Yujing Zou, Elliot Wadge, Khalil Sultanem et autres
0 citationsRadiotherapy and Oncology
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