Mirabela Rusu

Orcid: 0000-0002-0372-0367

According to our database1, Mirabela Rusu authored at least 45 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

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, 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

Bridging the gap between prostate radiology and pathology through machine learning.
CoRR, 2021

ProGNet: prostate gland segmentation on MRI with deep learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team).
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

Weakly Supervised Registration of Prostate MRI and Histopathology Images.
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

Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI.
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

Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection.
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

A prostate MRI atlas of biochemical failures following cancer treatment.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 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, 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
Biomolecular pleiomorphism probed by spatial interpolation of coarse models.
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


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