Caelum Research Corporation

1700 Research BoulevardSuite 250
Rockville, MD 20850
http://www.caelum.com
170 Employees

SBIR Award Summary

Total Number of Awards 16
Total Value of Awards $1.84MM
First Award Date 08/15/88
Most Recent Award Date 02/13/08

Key Personnel

Last Name Name Awards Contact
Yeh Dr. Hwa-Young M Yeh 2
Ligomenides Dr. Panos A Ligomenides 2
M. Fleming Lure Dr. Y. M. Fleming Lure 1
Kuo Dr. Kwo-Sun Kuo 1 Message
Lure Yung-Ming F Lure 9
Lin Jyh-Shyan J Lin 1

16 Awards Won

Phase 1 SBIR

Agency: Missile Defense Agency
Topic: MDA07-033
Budget: 02/13/08 - 08/13/09

The U.S. military has been using satellite IR images to monitor ground missile activities of hostile nations. Successful IR monitoring of ground features requires us to account for the intervening weather conditions that can have an adverse impact on intelligence gathering. The proposed Self-Corrective Remote Imagery Prediction System (SCRIPS) w...

Phase 1 SBIR

Agency: Department of Health & Human Services
Topic: PAR-01-102
Budget: 08/01/04 - 08/02/04

DESCRIPTION (provided by applicant): Phase I Effective registration functions of temporal digital images for many radiographic applications have been long over due. In the first phase of this project, we propose to develop key segmentation methods for automatic delineation of anatomic structures in both chest radiography and thoracic CT. It is ...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 06/01/04 - 07/31/04

DESCRIPTION (provided by applicant): In the US alone, it is estimated that lung cancer caused a total of 161,900 deaths in 2000. The 5-year survival rate in the US is 13% when all stages are considered. Substantial evidence suggests that early detection of lung cancer may reduce mortality for patients with stage T1 NxMx. High-resolution CT ca...

Phase 1 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 04/01/04 - 09/30/04

DESCRIPTION (provided by applicant): Caelum Research Corporation proposes to develop a computer-aided detection (CAD) system for detecting minimal tuberculosis (TB) on chest radiographs. Among infectious diseases, TB is the leading killer of adults in the world today and has infected one third of the world's population. In addition, TB curren...

Phase 1 SBIR

Agency: Department of Health & Human Services
Topic: PAR-01-102
Budget: 08/01/03 - 07/31/04

DESCRIPTION (provided by applicant): Phase I Effective registration functions of temporal digital images for many radiographic applications have been long over due. In the first phase of this project, we propose to develop key segmentation methods for automatic delineation of anatomic structures in both chest radiography and thoracic CT. It is ...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 06/06/03 - 05/31/04

DESCRIPTION (provided by applicant): In the US alone, it is estimated that lung cancer caused a total of 161,900 deaths in 2000. The 5-year survival rate in the US is 13% when all stages are considered. Substantial evidence suggests that early detection of lung cancer may reduce mortality for patients with stage T1 NxMx. High-resolution CT ca...

Phase 1 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 05/01/01 - 10/31/01

DESCRIPTION (Provided by Applicant): A computer aided diagnosis (CAD) method is proposed to assist radiologists in detecting pulmonary cancer in thoracic computed tomography (CT). Specifically, Phase I's aim is to assist radiologists (1) to compare current and previous thoracic CT scans to identify new findings or to a...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 08/06/99 - 09/30/00

An Expert-Driven Lung Nodule Detection (E-HLND) System is proposed for improving diagnostic accuracy and speed for lung cancerous pulmonary radiology. The research goal is to develop a robust, user-friendly, and clinically useful system to assist radiologists in the detection and analysis of lung tumor ...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 08/01/98 - 07/31/99

An Expert-Driven Lung Nodule Detection (E-HLND) System is proposed for improving diagnostic accuracy and speed for lung cancerous pulmonary radiology. The research goal is to develop a robust, user-friendly, and clinically useful system to assist radiologists in the detection and analysis of lung tumor ...

Phase 1 SBIR

Agency: Navy
Topic: N93-001
Budget: 08/02/93 - 02/01/94

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