198 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Dartmouth CollegeUS20 papers
- Dartmouth HospitalGB5 papers
- Cheshire Medical CenterUS2 papers
- National Institutes of HealthUS2 papers
- Alexander T. Augusta Military Medical CenterUS1 paper
- Center for NeurosciencesUS1 paper
- Cotton (United States)US1 paper
- Dartmouth Institute for Health Policy and Clinical PracticeUS1 paper
- DoseOptics (United States)US1 paper
- Duke-NUS Medical SchoolSG1 paper
- Emory UniversityUS1 paper
- Fayetteville State UniversityUS1 paper
21 papers
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron +35
Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world applicatio…
Failure Mode and Effects Analysis (FMEA) for Experimental Use of FLASH on a Clinical Accelerator
Mahbubur Rahman, Rongxiao Zhang, David J. Gladstone +6
Background: Use of a linear accelerator in ultra-high dose rate (UHDR) mode can provide a conduit for wider access to UHDR FLASH effects, sparing normal tissue, but care needs to b…
Individual Pulse Monitoring and Dose Control System for Pre-Clinical Implementation of FLASH-RT
M. Ramish Ashraf, Mahbubur Rahman, Xu Cao +7
Ultra-high dose rate electron sources require dose rate independent dosimeters and a calibrated dose control system for accurate delivery. In this study, we developed a single-puls…
Retrospective Evaluation of an Always-on Cherenkov Imaging System for Radiotherapy Quality Improvement
Daniel A. Alexander, Michael Jermyn, Petr Bruza +11
Purpose: Cherenkov imaging is now clinically available to track the course of radiation therapy as a treatment verification tool. The aim of this work was to discover the benefits…
Treatment Planning System for Electron FLASH Radiotherapy: Open-source for Clinical Implementation
Mahbubur Rahman, M. Ramish Ashraf, David J. Gladstone +7
Purpose: A Monte Carlo (MC) beam model and its implementation in a clinical treatment planning system (TPS, Varian Eclipse) are presented for a modified ultra-high dose-rate electr…
A Petri Dish for Histopathology Image Analysis
Jerry Wei, Arief Suriawinata, Bing Ren +9
With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or…
Poroelasticity as a Model of Soft Tissue Structure: Hydraulic Permeability Inference for Magnetic Resonance Elastography in Silico
Damian R Sowinski, Matthew DJ McGarry, Elijah Van Houten +3
Magnetic Resonance Elastography allows noninvasive visualization of tissue mechanical properties by measuring the displacements resulting from applied stresses, and fitting a mecha…
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides
Mengdan Zhu, Bing Ren, Ryland Richards +3
Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classification of RCC is essential for diagnosis, prognosis, and management of patients. R…
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Jerry Wei, Arief Suriawinata, Bing Ren +10
Applying curriculum learning requires both a range of difficulty in data and a method for determining the difficulty of examples. In many tasks, however, satisfying these requireme…
Electron FLASH Delivery at Treatment Room Isocenter for Efficient Reversible Conversion of a Clinical LINAC
Mahbubur Rahman, M. Ramish Ashraf, Rongxiao Zhang +8
Purpose: In this study, procedures were developed to achieve efficient reversible conversion of a clinical linear accelerator (LINAC) and deliver electron FLASH (eFLASH) or convent…
Dosimetry for FLASH Radiotherapy: A Review of Tools and the Role of Radioluminescence and Cherenkov Emission
Muhammad Ramish Ashraf, Mahbubur Rahman, Rongxiao Zhang +4
While spatial dose conformity delivered to a target volume has been pushed to its practical limits with advanced treatment planning and delivery, investigations in novel temporal d…
Difficulty Translation in Histopathology Images
Jerry Wei, Arief Suriawinata, Xiaoying Liu +5
The unique nature of histopathology images opens the door to domain-specific formulations of image translation models. We propose a difficulty translation model that modifies color…
Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
Xing Meng, Craig H. Ganoe, Ryan T. Sieberg +2
Machine learning methods have recently achieved high-performance in biomedical text analysis. However, a major bottleneck in the widespread application of these methods is obtainin…
Predicting colorectal polyp recurrence using time-to-event analysis of medical records
Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata +2
Identifying patient characteristics that influence the rate of colorectal polyp recurrence can provide important insights into which patients are at higher risk for recurrence. We…
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry Wei, Arief Suriawinata, Louis Vaickus +4
We present an image translation approach to generate augmented data for mitigating data imbalances in a dataset of histopathology images of colorectal polyps, adenomatous tumors th…
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Jason W. Wei, Jerry W. Wei, Christopher R. Jackson +3
Celiac disease prevalence and diagnosis have increased substantially in recent years. The current gold standard for celiac disease confirmation is visual examination of duodenal mu…
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
Naofumi Tomita, Behnaz Abdollahi, Jason Wei +3
Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological pa…
Ripple oscillations in the left temporal neocortex are associated with impaired verbal episodic memory encoding
Zachary J. Waldman, Liliana Camarillo-Rodriguez, Inna Chervenova +24
Background: We sought to determine if ripple oscillations (80-120Hz), detected in intracranial EEG (iEEG) recordings of epilepsy patients, correlate with an enhancement or disrupti…
Adjusting for bias introduced by instrumental variable estimation in the Cox Proportional Hazards Model
Pablo Martinez-Camblor, Todd A. MacKenzie, Douglas O. Staiger +2
Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV proced…
Approaches for modeling magnetic nanoparticle dynamics
Daniel B. Reeves, John B. Weaver
Magnetic nanoparticles are useful biological probes as well as therapeutic agents. There have been several approaches used to model nanoparticle magnetization dynamics for both Bro…
Simulations of magnetic nanoparticle Brownian motion
Daniel B Reeves, John B Weaver
Magnetic nanoparticles are useful in many medical applications because they interact with biology on a cellular level thus allowing microenvironmental investigation. An enhanced un…