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2020 – today
- 2025
[j12]Negar Golestani
, Aihui Wang, Golnaz Moallem, Gregory R. Bean, Mirabela Rusu:
PViT-AIR: Puzzling vision transformer-based affine image registration for multi histopathology and faxitron images of breast tissue. Medical Image Anal. 99: 103356 (2025)- 2024
- [j11]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:
RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate. Comput. Biol. Medicine 173: 108318 (2024) - [i15]Negar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu:
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images. CoRR abs/2401.09791 (2024) - 2023
- [j10]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:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c29]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:
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. ASMUS@MICCAI 2023: 121-131 - [c28]Negar Golestani, Aihui Wang, Gregory R. Bean, Mirabela Rusu:
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 182-192 - [c27]Cynthia Xinran Li, Indrani Bhattacharya, Sulaiman Vesal, Sara L. Saunders, Simon John Christoph Soerensen, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu:
Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information. MLMI@MICCAI (1) 2023: 341-350 - [e1]Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 [contents] - [i14]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:
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging. CoRR abs/2312.05334 (2023) - 2022
- [j9]Xiaotao Shen, Wei Shao, Chuchu Wang, Liang Liang, Songjie Chen, Sai Zhang, Mirabela Rusu, Michael P. Snyder:
Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine. Briefings Bioinform. 23(5) (2022) - [j8]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:
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework. Medical Image Anal. 75: 102288 (2022) - [j7]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:
Image quality assessment for machine learning tasks using meta-reinforcement learning. Medical Image Anal. 78: 102427 (2022) - [j6]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:
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Anal. 82: 102620 (2022) - [c26]Indrani Bhattacharya, Wei Shao, Simon J. C. Soerensen, Richard E. Fan, Jeffrey B. Wang, Christian Kunder, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu:
Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI. Computer-Aided Diagnosis 2022 - [c25]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:
Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration. MICCAI (6) 2022: 237-247 - [i13]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:
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation. CoRR abs/2202.09798 (2022) - [i12]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:
Image quality assessment for machine learning tasks using meta-reinforcement learning. CoRR abs/2203.14258 (2022) - [i11]Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti:
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. CoRR abs/2206.03888 (2022) - [i10]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:
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration. CoRR abs/2207.06189 (2022) - [i9]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:
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study. CoRR abs/2209.02126 (2022) - [i8]Karin Stacke, Indrani Bhattacharya, Justin R. Tse, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
Correlated Feature Aggregation by Region Helps Distinguish Aggressive from Indolent Clear Cell Renal Cell Carcinoma Subtypes on CT. CoRR abs/2209.14657 (2022) - 2021
- [j5]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:
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate. Medical Image Anal. 68: 101919 (2021) - [j4]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:
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction. Medical Image Anal. 69: 101957 (2021) - [j3]Wei Shao, Yue Pan, Oguz C. Durumeric, Joseph M. Reinhardt, John E. Bayouth, Mirabela Rusu, Gary E. Christensen:
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts. Medical Image Anal. 72: 102140 (2021) - [c24]Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu:
Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection. IPMI 2021: 755-766 - [c23]Amir Bolous, Arun Seetharaman, Indrani Bhattacharya, Richard E. Fan, Simon John Christoph Soerensen, Leo C. Chen, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rusu:
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration. Computer-Aided Diagnosis 2021 - [c22]Thomas DeSilvio, Stefania Moroianu, Indrani Bhattacharya, Arun Seetharaman, Geoffrey A. Sonn, Mirabela Rusu:
Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection. Computer-Aided Diagnosis 2021 - [c21]Stefania L. Moroianu, Mirabela Rusu:
Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI. Computer-Aided Diagnosis 2021 - [c20]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:
Weakly Supervised Registration of Prostate MRI and Histopathology Images. MICCAI (4) 2021: 98-107 - [c19]Wei Shao, Sulaiman Vesal, David S. Lim, Cynthia Xinran Li, Negar Golestani, Ahmed Alsinan, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu:
The Learn2Reg 2021 MICCAI Grand Challenge (PIMed Team). MIDOG/MOOD/Learn2Reg@MICCAI 2021: 168-173 - [c18]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:
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability. ASMUS@MICCAI 2021: 191-201 - [c17]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:
ProGNet: prostate gland segmentation on MRI with deep learning. Image Processing 2021 - [i7]Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu:
Learning image quality assessment by reinforcing task amenable data selection. CoRR abs/2102.07615 (2021) - [i6]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:
Adaptable image quality assessment using meta-reinforcement learning of task amenability. CoRR abs/2108.04359 (2021) - [i5]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:
Bridging the gap between prostate radiology and pathology through machine learning. CoRR abs/2112.02164 (2021) - [i4]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:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [c16]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:
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. MICCAI (2) 2020: 315-325 - [i3]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:
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. CoRR abs/2008.00119 (2020)
2010 – 2019
- 2019
- [c15]Rewa Sood, Mirabela Rusu:
Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks. ISBI 2019: 1688-1691 - [c14]Mirabela Rusu, Bruce Daniel, Robert B. West:
Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI. Image Processing 2019: 109490Y - [c13]Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks:
Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy. Image Processing 2019: 109491P - [i2]Rewa Sood, Mirabela Rusu:
Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks. CoRR abs/1912.09497 (2019) - [i1]Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu:
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging. CoRR abs/1912.09507 (2019) - 2018
- [c12]Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu:
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging. ICMLA 2018: 326-331 - 2017
- [c11]Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi:
Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) 2017: 442-449 - 2016
- [c10]Lin Li, Mirabela Rusu, Satish Viswanath, Gregory Penzias, Shivani Pahwa, Jay Gollamudi, Anant Madabhushi:
Multi-modality registration via multi-scale textural and spectral embedding representations. Image Processing 2016: 978446 - 2014
- [j2]Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi:
Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer. Neurocomputing 144: 13-23 (2014) - [c9]Shoshana B. Ginsburg, Mirabela Rusu, John Kurhanewicz, Anant Madabhushi:
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer. Computer-Aided Diagnosis 2014: 903509 - [c8]Mirabela Rusu, John Kurhanewicz, Ashutosh Tewari, Anant Madabhushi:
A prostate MRI atlas of biochemical failures following cancer treatment. Computer-Aided Diagnosis 2014: 903513 - [c7]Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi:
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Image Processing 2014: 90343P - 2013
- [c6]Eileen Hwuang, Shabbar Danish, Mirabela Rusu, Rachel Sparks, Robert Toth, Anant Madabhushi:
Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation. EMBC 2013: 4006-4009 - [c5]Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi:
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Digital Pathology 2013: 867604 - [c4]Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi:
Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer. Image-Guided Procedures 2013: 86711F - [c3]Mirabela Rusu, B. Nicolas Bloch, C. Carl Jaffe, Neil Rofsky, Elizabeth Genega, Ernest J. Feleppa, Robert E. Lenkinski, Anant Madabhushi:
Statistical 3D prostate imaging atlas construction via anatomically constrained registration. Image Processing 2013: 866913 - [c2]Haibo Wang, Mirabela Rusu, Thea Golden, Andrew J. Gow, Anant Madabhushi:
Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient. Image Processing 2013: 866914
2000 – 2009
- 2008
- [j1]Mirabela Rusu, Stefan Birmanns, Willy Wriggers:
Biomolecular pleiomorphism probed by spatial interpolation of coarse models. Bioinform. 24(21): 2460-2466 (2008) - [c1]M. Sriram Iyengar, John R. Svirbely, Mirabela Rusu, Jack W. Smith:
VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making. CBMS 2008: 434-436
Coauthor Index
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