Mirabela Rusu
Orcid: 0000-0002-0372-0367
According to our database1,
Mirabela Rusu
authored at least 47 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
PViT-AIR: Puzzling vision transformer-based affine image registration for multi histopathology and faxitron images of breast tissue.
Medical Image Anal., 2025
2024
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine, 2024
2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging.
CoRR, 2023
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Anal., 2022
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Medical Image Anal., 2022
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal., 2022
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT.
CoRR, 2022
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation.
CoRR, 2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR, 2022
Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.
Briefings Bioinform., 2022
Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal., 2021
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts.
Medical Image Anal., 2021
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal., 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Multi-modality registration via multi-scale textural and spectral embedding representations.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2014
Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer.
Neurocomputing, 2014
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Statistical 3D prostate imaging atlas construction via anatomically constrained registration.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2008
Bioinform., 2008
VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008