A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT
Fuente:
arXiv
Saved in:
| Main Authors: | Toma, Tanjin Taher, Mathai, Tejas Sudharshan, Santra, Bikash, Mukherjee, Pritam, Liu, Jianfei, Jong, Wesley, Alabyad, Darwish, Batheja, Vivek, Jha, Abhishek, Patel, Mayank, Pucar, Darko, del Rivero, Jayadira, Pacak, Karel, Summers, Ronald M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
by: Oluigboa, David C., et al.
Published: (2024)
by: Oluigboa, David C., et al.
Published: (2024)
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
by: Prasad, Anisa V., et al.
Published: (2025)
by: Prasad, Anisa V., et al.
Published: (2025)
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024)
by: Helm, Kimberly, et al.
Published: (2024)
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
by: Tran, Nicole, et al.
Published: (2025)
by: Tran, Nicole, et al.
Published: (2025)
Longitudinal Assessment of Lung Lesion Burden in CT
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging
by: Shieh, Alexander, et al.
Published: (2025)
by: Shieh, Alexander, et al.
Published: (2025)
3D Universal Lesion Detection and Tagging in CT with Self-Training
by: Frazier, Jared, et al.
Published: (2025)
by: Frazier, Jared, et al.
Published: (2025)
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study
by: Hou, Benjamin, et al.
Published: (2024)
by: Hou, Benjamin, et al.
Published: (2024)
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
by: Erickson, Peter D., et al.
Published: (2025)
by: Erickson, Peter D., et al.
Published: (2025)
MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
by: Zhuang, Yan, et al.
Published: (2024)
by: Zhuang, Yan, et al.
Published: (2024)
Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost
by: Hou, Benjamin, et al.
Published: (2025)
by: Hou, Benjamin, et al.
Published: (2025)
Automated classification of multi-parametric body MRI series
by: Kim, Boah, et al.
Published: (2024)
by: Kim, Boah, et al.
Published: (2024)
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
by: Wang, Xinya, et al.
Published: (2025)
by: Wang, Xinya, et al.
Published: (2025)
Weakly-Supervised Detection of Bone Lesions in CT
by: Sheng, Tao, et al.
Published: (2024)
by: Sheng, Tao, et al.
Published: (2024)
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study
by: Nguyen, Andrew M., et al.
Published: (2024)
by: Nguyen, Andrew M., et al.
Published: (2024)
Case Series of Patients With FGFR1‐Related Pheochromocytoma and Paraganglioma With a Focus on Biochemical, Imaging Signatures and Treatment Options
by: Sakshi Jhawar, et al.
Published: (2025)
by: Sakshi Jhawar, et al.
Published: (2025)
Learning to Segment Corneal Tissue Interfaces in OCT Images
by: Mathai, Tejas Sudharshan, et al.
Published: (2018)
by: Mathai, Tejas Sudharshan, et al.
Published: (2018)
Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
Classification of Multi-Parametric Body MRI Series Using Deep Learning
by: Kim, Boah, et al.
Published: (2025)
by: Kim, Boah, et al.
Published: (2025)
Text Embedded Swin-UMamba for DeepLesion Segmentation
by: Cheng, Ruida, et al.
Published: (2025)
by: Cheng, Ruida, et al.
Published: (2025)
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
by: Zhu, Qingqing, et al.
Published: (2024)
by: Zhu, Qingqing, et al.
Published: (2024)
Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
by: Toma, Tanjin Taher, et al.
Published: (2024)
by: Toma, Tanjin Taher, et al.
Published: (2024)
Utility of Pancreas Surface Lobularity as a CT Biomarker for Opportunistic Screening of Type 2 Diabetes
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)
How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
by: Zhu, Qingqing, et al.
Published: (2024)
by: Zhu, Qingqing, et al.
Published: (2024)
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification
by: Hou, Benjamin, et al.
Published: (2024)
by: Hou, Benjamin, et al.
Published: (2024)
Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations
by: Jha, Mayank
Published: (2026)
by: Jha, Mayank
Published: (2026)
Significance of Anatomical Constraints in Virtual Try-On
by: Roy, Debapriya, et al.
Published: (2024)
by: Roy, Debapriya, et al.
Published: (2024)
A Pheochromocytoma Mimicker: Mercury Poisoning
by: Andrea Fernanda Pacaja‐Rojas, et al.
Published: (2025)
by: Andrea Fernanda Pacaja‐Rojas, et al.
Published: (2025)
Caring for Patients With Pheochromocytomas in the Perioperative Setting
by: Theresa M. Criscitelli
Published: (2024)
by: Theresa M. Criscitelli
Published: (2024)
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2025)
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2025)
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2024)
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2024)
Task--Specificity Score: Measuring How Much Instructions Really Matter for Supervision
by: Kadasi, Pritam, et al.
Published: (2026)
by: Kadasi, Pritam, et al.
Published: (2026)
ADAPT: Learning Task Mixtures for Budget-Constrained Instruction Tuning
by: Kadasi, Pritam, et al.
Published: (2025)
by: Kadasi, Pritam, et al.
Published: (2025)
Public health and education spending in Ghana in 1992-98 : issues of equity and efficiency / Sudharshan Canagarajah, Xiao Ye
by: Canagarajah, Sudharshan
Published: (2001)
by: Canagarajah, Sudharshan
Published: (2001)
The evolution of poverty and welfare in Nigeria, 1985-92 / Sudharshan Canagarajan, John Ngwafon, Saji Thomas
by: Canagarajan, Sudharshan
Published: (1997)
by: Canagarajan, Sudharshan
Published: (1997)
Ghana's labor market (1987-92) / Sudharshan Canagarajah, Saji Thomas
by: Canagarajah, Sudharshan
Published: (1997)
by: Canagarajah, Sudharshan
Published: (1997)
Differences in Clinical Presentation Between Pheochromocytomas and Paragangliomas
by: Vincent E. D. Pihlblad, et al.
Published: (2025)
by: Vincent E. D. Pihlblad, et al.
Published: (2025)
Pheochromocytoma-induced shock: a case report
by: Stanley de Almeida Araújo
Published: (2012)
by: Stanley de Almeida Araújo
Published: (2012)
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
by: Liu, Jianfei, et al.
Published: (2024)
by: Liu, Jianfei, et al.
Published: (2024)
Similar Items
-
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
by: Oluigboa, David C., et al.
Published: (2024) -
Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
by: Prasad, Anisa V., et al.
Published: (2025) -
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024) -
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024) -
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
by: Tran, Nicole, et al.
Published: (2025)