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Disambiguation of "Hadjiiski, Lubomir M."

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Multi-path deep learning model for automated mammographic density categorization.

, , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502E. SPIE, (2019)

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Lubomir Hadjiiski

Lubomir Arseniev

Lübomir Iwanoff

Lübomir Boitschinoff

Lubomir Kraus

 

Other publications of authors with the same name

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Fusion of multiple deep convolutional neural networks (DCNNs) for improved segmentation of lung nodules in CT images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support., , , , , , , , , and 4 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095020. SPIE, (2019)The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI., , , , , , , , , and 75 other author(s). CoRR, (2024)Reinforced learning from serial CT to improve the early diagnosis of lung cancer in screening., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340T. SPIE, (2017)Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets., , , , , and . IEEE Trans. Med. Imaging, 38 (3): 686-696 (2019)Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500W. SPIE, (2019)Analysis of deep convolutional features for detection of lung nodules in computed tomography., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500Q. SPIE, (2019)