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Disambiguation of "Hadjiiski, Lubomir M."

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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)

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Lubomir Hadjiiski

Lübomir Boitschinoff

Lübomir Iwanoff

Lubomir Arseniev

Lubomir Konow

 

Other publications of authors with the same name

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)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)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)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)The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI., , , , , , , , , and 75 other author(s). CoRR, (2024)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)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)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)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)