Mirabela Rusu

72 papers B 8C 1Journal 40Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Current Trends and Future Prospects of Radiomics and Machine Learning (ML) Models in Spinal Tumors - A Narrative Review.
J. Imaging
Vivek Sanker, Suhrud Panchawgh, Anmol Kaur, Vinay Suresh, Dhanya Mahesh, Eeman Ahmad, Srinath Hariharan, Dhiraj Pangal, Maria Jose Cavgnaro, Mirabela Rusu, John Ratliff, Atman Desai
2026 J jnl
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications.
npj Digit. Medicine
Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh
2026 J jnl
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction.
CoRR
Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2026 J jnl
The role of self-supervised pretraining in differentially private medical image analysis.
CoRR
Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Hinrichs-Puladi, Jonas Bienzeisler, Mohamed Alhaskir, Mirabela Rusu, Christiane Kuhl, Sven Nebelung, Daniel Truhn
2025 — conf
A Domain-Inspired, Semi-supervised nnU-Net Is All You Need for Primary Breast Cancer Segmentation.
Deep-Breath@MICCAI
Daan Schouten, Jeong Hoon Lee, Gregory R. Bean, Haruka Itakura, Mirabela Rusu
2025 J jnl
Agentic large language models improve retrieval-based radiology question answering.
CoRR
Sebastian Wind, Jeta Sopa, Daniel Truhn, Mahshad Lotfinia, Tri-Thien Nguyen, Keno K. Bressem, Lisa Adams, Mirabela Rusu, Harald Köstler, Gerhard Wellein, Andreas K. Maier, Soroosh Tayebi Arasteh
2025 J jnl
Differential Privacy for Deep Learning in Medicine.
CoRR
Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh
2025 J jnl
Multi-step retrieval and reasoning improves radiology question answering with large language models.
npj Digit. Medicine
Sebastian Wind, Jeta Sopa, Daniel Truhn, Mahshad Lotfinia, Tri-Thien Nguyen, Keno K. Bressem, Lisa Adams, Mirabela Rusu, Harald Köstler, Gerhard Wellein, Andreas K. Maier, Soroosh Tayebi Arasteh
2025 J jnl
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study.
CoRR
Hassan Jahanandish, Shengtian Sang, Cynthia Xinran Li, Sulaiman Vesal, Indrani Bhattacharya, Jeong Hoon Lee, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2025 J jnl
PViT-AIR: Puzzling vision transformer-based affine image registration for multi histopathology and faxitron images of breast tissue.
Medical Image Anal.
Negar Golestani, Aihui Wang, Golnaz Moallem, Gregory R. Bean, Mirabela Rusu
2025 — conf
Promptable Cancer Segmentation Using Minimal Expert-Curated Data.
MIUA (3)
Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed
2025 J jnl
Promptable cancer segmentation using minimal expert-curated data.
CoRR
Lynn Karam, Yipei Wang, Veeru Kasivisvanathan, Mirabela Rusu, Yipeng Hu, Shaheer U. Saeed
2025 J jnl
ProstAtlasDiff: Prostate cancer detection on MRI using Diffusion Probabilistic Models guided by population spatial cancer atlases.
Medical Image Anal.
Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Pejman Ghanouni, Hassan Jahanandish, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2025 J jnl
Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer.
CoRR
Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Richard E. Fan, Pejman Ghanouni, Yuze Song, Tyler M. Seibert, Geoffrey A. Sonn, Mirabela Rusu
2025 J jnl
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images.
CoRR
Shengtian Sang, Hassan Jahanandish, Cynthia Xinran Li, Indrani Bhattachary, Jeong Hoon Lee, Lichun Zhang, Sulaiman Vesal, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2024 J jnl
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images.
CoRR
Negar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu
2024 J jnl
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound.
CoRR
Lichun Zhang, Steve Ran Zhou, Moon Hyung Choi, Jeong Hoon Lee, Shengtian Sang, Adam Kinnaird, Wayne G. Brisbane, Giovanni Lughezzani, Davide Maffei, Vittorio Fasulo, Patrick Albers, Sulaiman Vesal, Wei Shao, Ahmed N. El Kaffas, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2024 J jnl
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate.
Comput. Biol. Medicine
Wei Shao, Sulaiman Vesal, Simon J. C. Soerensen, Indrani Bhattacharya, Negar Golestani, Rikiya Yamashita, Christian A. Kunder, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2023 — conf
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Negar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu
2023 — conf
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information.
MLMI@MICCAI (1)
Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Sara L. Saunders, Simon John Christoph Soerensen, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2023 J jnl
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2023 — conf
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection.
ASMUS@MICCAI
Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Ran Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E. Fan, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2023 — ed.
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA.
MIDL
Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant
2023 J jnl
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging.
CoRR
Sulaiman Vesal, Indrani Bhattacharya, Hassan Jahanandish, Cynthia Xinran Li, Zachary Kornberg, Steve Ran Zhou, Elijah Richard Sommer, Moonhyung Choi, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration.
CoRR
Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard E. Fan, Caroline M. Moore, Mirabela Rusu, Geoffrey A. Sonn, Philip H. S. Torr, Dean C. Barratt, Yipeng Hu
2022 — conf
Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.
MICCAI (6)
Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard E. Fan, Caroline M. Moore, Mirabela Rusu, Geoffrey A. Sonn, Philip H. S. Torr, Dean C. Barratt, Yipeng Hu
2022 J jnl
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation.
CoRR
Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti
2022 J jnl
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT.
CoRR
Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.
Briefings Bioinform.
Xiaotao Shen, Wei Shao, Chuchu Wang, Liang Liang, Songjie Chen, Sai Zhang, Mirabela Rusu, Michael P. Snyder
2022 J jnl
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study.
CoRR
Sulaiman Vesal, Iani J. M. B. Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C. Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Anal.
Sulaiman Vesal, Iani J. M. B. Gayo, Indrani Bhattacharya, Shyam Natarajan, Leonard S. Marks, Dean C. Barratt, Richard E. Fan, Yipeng Hu, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR
Shaheer U. Saeed, Wen Yan, Yunguan Fu, Francesco Giganti, Qianye Yang, Zachary M. C. Baum, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Mark Emberton, Dean C. Barratt, Yipeng Hu
2022 J jnl
Image quality assessment for machine learning tasks using meta-reinforcement learning.
CoRR
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu
2022 J jnl
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Medical Image Anal.
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu
2022 — conf
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI.
Computer-Aided Diagnosis
Indrani Bhattacharya, Wei Shao, Simon J. C. Soerensen, Richard E. Fan, Jeffrey B. Wang, Christian Kunder, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu
2022 J jnl
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Medical Image Anal.
Indrani Bhattacharya, Arun Seetharaman, Christian Kunder, Wei Shao, Leo C. Chen, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.
Medical Image Anal.
Rewa Sood, Wei Shao, Christian Kunder, Nikola C. Teslovich, Jeffrey B. Wang, Simon John Christoph Soerensen, Nikhil Madhuripan, Anugayathri Jawahar, James D. Brooks, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability.
ASMUS@MICCAI
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu
2021 J jnl
Adaptable image quality assessment using meta-reinforcement learning of task amenability.
CoRR
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu
2021 J jnl
Bridging the gap between prostate radiology and pathology through machine learning.
CoRR
Indrani Bhattacharya, David S. Lim, Han Lin Aung, Xingchen Liu, Arun Seetharaman, Christian A. Kunder, Wei Shao, Simon John Christoph Soerensen, Richard E. Fan, Pejman Ghanouni, Katherine J. To'o, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration.
Computer-Aided Diagnosis
Amir Bolous, Arun Seetharaman, Indrani Bhattacharya, Richard E. Fan, Simon John Christoph Soerensen, Leo C. Chen, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI.
Computer-Aided Diagnosis
Stefania L. Moroianu, Mirabela Rusu
2021 J jnl
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts.
Medical Image Anal.
Wei Shao, Yue Pan, Oguz C. Durumeric, Joseph M. Reinhardt, John E. Bayouth, Mirabela Rusu, Gary E. Christensen
2021 — conf
Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection.
Computer-Aided Diagnosis
Thomas DeSilvio, Stefania Moroianu, Indrani Bhattacharya, Arun Seetharaman, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2021 — conf
Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection.
IPMI
Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu
2021 J jnl
Learning image quality assessment by reinforcing task amenable data selection.
CoRR
Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu
2021 B conf
ProGNet: prostate gland segmentation on MRI with deep learning.
Image Processing
Simon John Christoph Soerensen, Richard E. Fan, Arun Seetharaman, Leo C. Chen, Wei Shao, Indrani Bhattacharya, Michael Borre, Benjamin Chung, Katherine J. To'o, Geoffrey A. Sonn, Mirabela Rusu
2021 J jnl
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.
Medical Image Anal.
Wei Shao, Linda Banh, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Nikhil Madhuripan, Anugayathri Jawahar, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team).
MIDOG/MOOD/Learn2Reg@MICCAI
Wei Shao, Sulaiman Vesal, David S. Lim, Cynthia Xinran Li, Negar Golestani, Ahmed Alsinan, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu
2021 — conf
Weakly Supervised Registration of Prostate MRI and Histopathology Images.
MICCAI (4)
Wei Shao, Indrani Bhattacharya, Simon John Christoph Soerensen, Christian A. Kunder, Jeffrey B. Wang, Richard E. Fan, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2020 — conf
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
MICCAI (2)
Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2020 J jnl
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis.
CoRR
Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Rewa Sood, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Pejman Ghanouni, Nikola C. Teslovich, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu
2019 J jnl
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging.
CoRR
Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu
2019 — conf
Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks.
ISBI
Rewa Sood, Mirabela Rusu
2019 J jnl
Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks.
CoRR
Rewa Sood, Mirabela Rusu
2019 B conf
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy.
Image Processing
Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks
2019 B conf
Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI.
Image Processing
Mirabela Rusu, Bruce Daniel, Robert B. West
2018 C conf
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging.
ICMLA
Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu
2017 — conf
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
MICCAI (2)
Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi
2016 B conf
Multi-modality registration via multi-scale textural and spectral embedding representations.
Image Processing
Lin Li, Mirabela Rusu, Satish Viswanath, Gregory Penzias, Shivani Pahwa, Jay Gollamudi, Anant Madabhushi
2014 — conf
A prostate MRI atlas of biochemical failures following cancer treatment.
Computer-Aided Diagnosis
Mirabela Rusu, John Kurhanewicz, Ashutosh Tewari, Anant Madabhushi
2014 — conf
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer.
Computer-Aided Diagnosis
Shoshana B. Ginsburg, Mirabela Rusu, John Kurhanewicz, Anant Madabhushi
2014 J jnl
Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer.
Neurocomputing
Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi
2014 B conf
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Image Processing
Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013 — conf
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
EMBC
Eileen Hwuang, Shabbar Danish, Mirabela Rusu, Rachel Sparks, Robert Toth, Anant Madabhushi
2013 — conf
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Digital Pathology
Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013 B conf
Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient.
Image Processing
Haibo Wang, Mirabela Rusu, Thea Golden, Andrew J. Gow, Anant Madabhushi
2013 — conf
Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer.
Image-Guided Procedures
Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi
2013 B conf
Statistical 3D prostate imaging atlas construction via anatomically constrained registration.
Image Processing
Mirabela Rusu, B. Nicolas Bloch, C. Carl Jaffe, Neil Rofsky, Elizabeth Genega, Ernest J. Feleppa, Robert E. Lenkinski, Anant Madabhushi
2008 J jnl
Biomolecular pleiomorphism probed by spatial interpolation of coarse models.
Bioinform.
Mirabela Rusu, Stefan Birmanns, Willy Wriggers
2008 B conf
VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making.
CBMS
M. Sriram Iyengar, John R. Svirbely, Mirabela Rusu, Jack W. Smith