Search Results - "Ghesu, Florin C."

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing by Ghesu, Florin C., Krubasik, Edward, Georgescu, Bogdan, Singh, Vivek, Yefeng Zheng, Hornegger, Joachim, Comaniciu, Dorin

“…Robust and fast solutions for anatomical object detection and segmentation support the entire clinical workflow from diagnosis, patient stratification, therapy…”
Get full text

AUCReshaping: improved sensitivity at high-specificity by Bhat, Sheethal, Mansoor, Awais, Georgescu, Bogdan, Panambur, Adarsh B., Ghesu, Florin C., Islam, Saahil, Packhäuser, Kai, Rodríguez-Salas, Dalia, Grbic, Sasa, Maier, Andreas

“…The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC,…”
Get full text

Cardiac ultrasound simulation for autonomous ultrasound navigation by Amadou, Abdoul Aziz, Peralta, Laura, Dryburgh, Paul, Klein, Paul, Petkov, Kaloian, Housden, R James, Singh, Vivek, Liao, Rui, Kim, Young-Ho, Ghesu, Florin C, Mansi, Tommaso, Rajani, Ronak, Young, Alistair, Rhode, Kawal

“…Ultrasound is well-established as an imaging modality for diagnostic and interventional purposes. However, the image quality varies with operator skills as…”
Get full text

Towards intelligent robust detection of anatomical structures in incomplete volumetric data by Ghesu, Florin C., Georgescu, Bogdan, Grbic, Sasa, Maier, Andreas, Hornegger, Joachim, Comaniciu, Dorin

“…•Multi-scale DRL with robust statistical shape modeling for anatomy detection.•Multi-scale processing enables real-time speed and high detection…”
Get full text

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks by Liu, Siqi, Setio, Arnaud Arindra Adiyoso, Ghesu, Florin C., Gibson, Eli, Grbic, Sasa, Georgescu, Bogdan, Comaniciu, Dorin

“…Detecting malignant pulmonary nodules at an early stage can allow medical interventions which may increase the survival rate of lung cancer patients. Using…”
Get full text

Quantifying and leveraging predictive uncertainty for medical image assessment by Ghesu, Florin C., Georgescu, Bogdan, Mansoor, Awais, Yoo, Youngjin, Gibson, Eli, Vishwanath, R.S., Balachandran, Abishek, Balter, James M., Cao, Yue, Singh, Ramandeep, Digumarthy, Subba R., Kalra, Mannudeep K., Grbic, Sasa, Comaniciu, Dorin

“…•Quantification of predictive uncertainty using belief estimation and subjective logic.•Sample rejection based on predictive uncertainty leads to significant…”
Get full text

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth by Mortani Barbosa, Eduardo J., Gefter, Warren B., Ghesu, Florin C., Liu, Siqi, Mailhe, Boris, Mansoor, Awais, Grbic, Sasa, Vogt, Sebastian

“…The aim of this study was to leverage volumetric quantification of airspace disease (AD) derived from a superior modality (computed tomography [CT]) serving as…”
Get full text

Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment by Gündel, Sebastian, Setio, Arnaud A.A., Ghesu, Florin C., Grbic, Sasa, Georgescu, Bogdan, Maier, Andreas, Comaniciu, Dorin

“…•Development of a deep learning algorithm designed to perform chest radiography abnormality assessment.•Multi-task network designed for classification of…”
Get full text

Large-Scale Study on AI’s Impact on Identifying Chest Radiographs with No Actionable Disease in Outpatient Imaging by Mansoor, Awais, Schmuecking, Ingo, Ghesu, Florin C., Georgescu, Bogdan, Grbic, Sasa, Vishwanath, R.S., Farri, Oladimeji, Ghosh, Rikhiya, Vunikili, Ramya, Zimmermann, Mathis, Sutcliffe, James, Mendelsohn, Steven L., Comaniciu, Dorin, Gefter, Warren B.

“…Given the high volume of chest radiographs, radiologists frequently encounter heavy workloads. In outpatient imaging, a substantial portion of chest…”
Get full text

Contrastive self-supervised learning from 100 million medical images with optional supervision by Ghesu, Florin C., Georgescu, Bogdan, Mansoor, Awais, Yoo, Youngjin, Neumann, Dominik, Patel, Pragneshkumar, Vishwanath, Reddappagari Suryanarayana, Balter, James M., Cao, Yue, Grbic, Sasa, Comaniciu, Dorin

“…Building accurate and robust artificial intelligence systems for medical image assessment requires the creation of large sets of annotated training examples…”
Get full text

Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19 by Jung, Hae-Min, Yang, Rochelle, Gefter, Warren B., Ghesu, Florin C., Mailhe, Boris, Mansoor, Awais, Grbic, Sasa, Comaniciu, Dorin, Vogt, Sebastian, Mortani Barbosa, Eduardo J.

“…Purpose: Rapid prognostication of COVID-19 patients is important for efficient resource allocation. We evaluated the relative prognostic value of baseline…”
Get full text

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography–Derived Ground Truth by Mortani Barbosa, Eduardo J., Gefter, Warren B., Ghesu, Florin C., Liu, Siqi, Mailhe, Boris, Mansoor, Awais, Grbic, Sasa, Vogt, Sebastian

Get full text

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow by Teichmann, Marvin Tom, Datar, Manasi, Kratzke, Lisa, Vega, Fernando, Ghesu, Florin C

“…The precision of contouring target structures and organs-at-risk (OAR) in radiotherapy planning is crucial for ensuring treatment efficacy and patient safety…”
Get full text

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy by Gao, Riqiang, Ghesu, Florin C, Arberet, Simon, Basiri, Shahab, Kuusela, Esa, Kraus, Martin, Comaniciu, Dorin, Kamen, Ali

“…In contemporary radiotherapy planning (RTP), a key module leaf sequencing is predominantly addressed by optimization-based approaches. In this paper, we…”
Get full text

ConTrack: Contextual Transformer for Device Tracking in X-ray by Demoustier, Marc, Zhang, Yue, Murthy, Venkatesh Narasimha, Ghesu, Florin C, Comaniciu, Dorin

“…Device tracking is an important prerequisite for guidance during endovascular procedures. Especially during cardiac interventions, detection and tracking of…”
Get full text

Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers by Islam, Saahil, Murthy, Venkatesh N, Neumann, Dominik, Das, Badhan Kumar, Sharma, Puneet, Maier, Andreas, Comaniciu, Dorin, Ghesu, Florin C

“…An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac…”
Get full text

AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation by Kim, Young-Ho, Lluch, Èric, Mehmet, Gulsun, Ghesu, Florin C, Kapoor, Ankur

“…Endovascular guidewire manipulation is essential for minimally-invasive clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical…”
Get full text

Separable Tendon-Driven Robotic Manipulator with a Long, Flexible, Passive Proximal Section by DeBuys, Christian, Ghesu, Florin C, Jayender, Jagadeesan, Langari, Reza, Kim, Young-Ho

“…This work tackles practical issues which arise when using a tendon-driven robotic manipulator (TDRM) with a long, flexible, passive proximal section in medical…”
Get full text

Goal-conditioned reinforcement learning for ultrasound navigation guidance by Amadou, Abdoul Aziz, Singh, Vivek, Ghesu, Florin C, Kim, Young-Ho, Stanciulescu, Laura, Sai, Harshitha P, Sharma, Puneet, Young, Alistair, Rajani, Ronak, Rhode, Kawal

“…Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires…”
Get full text

Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment by Gündel, Sebastian, Setio, Arnaud A. A, Ghesu, Florin C, Grbic, Sasa, Georgescu, Bogdan, Maier, Andreas, Comaniciu, Dorin

“…Chest radiography is the most common radiographic examination performed in daily clinical practice for the detection of various heart and lung abnormalities…”
Get full text