680 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS23 papers
- Brigham and Women's HospitalUS21 papers
- Dana-Farber Cancer InstituteUS21 papers
- Maastricht UniversityNL6 papers
- Mass General BrighamUS5 papers
- Massachusetts General HospitalUS4 papers
- Northeastern UniversityUS4 papers
- Boston Children's HospitalUS3 papers
- Heidelberg UniversityDE3 papers
- Technical University of MunichDE3 papers
- University Hospital HeidelbergDE3 papers
- University of PennsylvaniaUS3 papers
25 papers
SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration
Sara Monji-Azad, Marvin Kinz, Claudia Scherl +3
Non-rigid point cloud registration is a crucial task in computer vision. Evaluating a non-rigid point cloud registration method requires a dataset with challenges such as large def…
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77
Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%.…
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT
Hartmut Häntze, Lina Xu, Christian J. Mertens +29
Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial…
Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy
Yining Zha, Benjamin H. Kann, Zezhong Ye +8
Introduction: Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. How…
AGuIX nanoparticle-nanobody bioconjugates to target immune checkpoint receptors
Léna Carmès, Guillaume Bort, François Lux +16
Comparison of click chemistry and sortagging grafting strategies for functionalizing AGuIX nanoparticles with nanobodies to develop a tri-functional technology combining MRI imagin…
Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification
Kareem A. Wahid, Carlos E. Cardenas, Barbara Marquez +8
Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three…
Tuning ultrasmall theranostic nanoparticles for MRI contrast and radiation dose amplification
Needa Brown, Paul Rocchi, Léna Carmès +23
Background: The introduction of magnetic resonance (MR)-guided radiation treatment planning has opened a new space for theranostic nanoparticles to reduce acute toxicity while impr…
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
Sara Monji-Azad, Marvin Kinz, Jürgen Hesser
Point cloud registration is a fundamental problem in computer vision that aims to estimate the transformation between corresponding sets of points. Non-rigid registration, in parti…
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
Shan Chen, Yingya Li, Sheng Lu +4
Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedic…
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy
Shan Chen, Marco Guevara, Nicolas Ramirez +7
Radiotherapy (RT) toxicities can impair survival and quality-of-life, yet remain under-studied. Real-world evidence holds potential to improve our understanding of toxicities, but…
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann +12
This paper presents medBERTde, a pre-trained German BERT model specifically designed for the German medical domain. The model has been trained on a large corpus of 4.7 Million Germ…
MRI-based Material Mass Density and Relative Stopping Power Estimation via Deep Learning for Proton Therapy
Yuan Gao, Chih-Wei Chang, Sagar Mandava +10
Magnetic Resonance Imaging (MRI) is increasingly incorporated into treatment planning, because of its superior soft tissue contrast used for tumor and soft tissue delineation versu…
Multimodal Imaging-based Material Mass Density Estimation for Proton Therapy Using Physics-Constrained Deep Learning
Chih-Wei Chang, Raanan Marants, Yuan Gao +7
Mapping computed tomography (CT) number to material property dominates the proton range uncertainty. This work aims to develop a physics-constrained deep learning-based multimodal…
Automated Empathy Detection for Oncology Encounters
Zhuohao Chen, James Gibson, Ming-Chang Chiu +6
Empathy involves understanding other people's situation, perspective, and feelings. In clinical interactions, it helps clinicians establish rapport with a patient and support patie…
The importance of transparency and reproducibility in artificial intelligence research
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
Suzanne C Wetstein, Allison M Onken, Christina Luffman +13
Terminal ductal lobular unit (TDLU) involution is the regression of milk-producing structures in the breast. Women with less TDLU involution are more likely to develop breast cance…
On Adaptation Cost and Tractability in Robust Adaptive Radiation Therapy Optimization
Michelle Böck
A framework for online robust adaptive radiation therapy (ART) is presented. This framework is designed to (i) handle interfractional geometric variations following a probability d…
Continuous Generation of Volumetric Images During Stereotactic Body Radiation Therapy Using Periodic kV Imaging and an External Respiratory Surrogate
Matthieu Lafrenière, Nitin Mahadeo, John Lewis +2
We present a technique for continuous generation of volumetric images during SBRT using periodic kV imaging and an external respiratory surrogate signal to drive a patient-specific…
Overcome Competitive Exclusion in Ecosystems
Xin Wang, Yang-Yu Liu
Explaining biodiversity in nature is a fundamental problem in ecology. An outstanding challenge is embodied in the so-called Competitive Exclusion Principle: two species competing…
Control Principles of Complex Networks
Yang-Yu Liu, Albert-Laszló Barabási
A reflection of our ultimate understanding of a complex system is our ability to control its behavior. Typically, control has multiple prerequisites: It requires an accurate map of…
Prospect Theory for Online Financial Trading
Yang-Yu Liu, Jose C. Nacher, Tomoshiro Ochiai +2
Prospect theory is widely viewed as the best available descriptive model of how people evaluate risk in experimental settings. According to prospect theory, people are risk-averse…
Quantifying Information Flow During Emergencies
Liang Gao, Chaoming Song, Ziyou Gao +3
Recent advances on human dynamics have focused on the normal patterns of human activities, with the quantitative understanding of human behavior under extreme events remaining a cr…
A Mass-Conserving 4D XCAT Phantom for Dose Calculation and Accumulation
Christopher L. Williams, Pankaj Mishra, Joao Seco +4
The XCAT phantom is a realistic 4D digital torso phantom that is widely used in imaging and therapy research. However, lung mass is not conserved between respiratory phases of the…
3T MR-Guided Brachytherapy for Gynecologic Malignancies
Tina Kapur, Jan Egger, Antonio Damato +2
Gynecologic malignancies are a leading cause of death in women worldwide. Standard treatment for many primary and recurrent gynecologic cancer cases includes a combination of exter…