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Abraham H. Dachman
ORCID
Publication Activity (10 Years)
Years Active: 1998-2023
Publications (10 Years): 2
Top Topics
Weakly Supervised
Pulmonary Nodules
Computer Aided Detection
Ct Colonography
Top Venues
SMC
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Publications
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Kenji Suzuki
,
Abraham H. Dachman
ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography.
SMC
(2023)
Kenji Suzuki
,
Mohammadamin Zarshenas
,
Junchi Liu
,
Yonghui Fan
,
Nazanin Makkinejad
,
Paul Forti
,
Abraham H. Dachman
Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection.
SMC
(2015)
Kenji Suzuki
,
Masatoshi Hori
,
Gen Iinuma
,
Abraham H. Dachman
Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography.
Medical Imaging: Computer-Aided Diagnosis
(2013)
Kenji Suzuki
,
Mark L. Epstein
,
Jianwu Xu
,
Piotr Obara
,
Don C. Rockey
,
Abraham H. Dachman
Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing.
Medical Imaging: Computer-Aided Diagnosis
(2010)
Kenji Suzuki
,
Ivan Sheu
,
Don C. Rockey
,
Abraham H. Dachman
A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results.
Medical Imaging: Computer-Aided Diagnosis
(2009)
Kenji Suzuki
,
Ivan Sheu
,
Mark L. Epstein
,
Ryan Kohlbrenner
,
Antonella Lostumbo
,
Don C. Rockey
,
Abraham H. Dachman
An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results.
Medical Imaging: Computer-Aided Diagnosis
(2008)
Kenji Suzuki
,
Mark L. Epstein
,
Ivan Sheu
,
Ryan Kohlbrenner
,
Don C. Rockey
,
Abraham H. Dachman
Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial.
ISBI
(2008)
Kenji Suzuki
,
Lifeng He
,
Shweta Khankari
,
Liang Ge
,
Joel Verceles
,
Abraham H. Dachman
Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD.
Medical Imaging: Computer-Aided Diagnosis
(2007)
Janne Näppi
,
Hans Frimmel
,
Akihiko Okamura
,
Abraham H. Dachman
,
Hiroyuki Yoshida
Region-based supine-prone correspondence for reduction of false positives in CAD of CT colonography.
CARS
(2004)
Akihiko Okamura
,
Abraham H. Dachman
,
N. Parsad
,
Janne Näppi
,
Hiroyuki Yoshida
Evaluation of the effect of CAD on observers' performance in detection of polyps in CT colonography.
CARS
(2004)
Hiroyuki Yoshida
,
Abraham H. Dachman
CAD for CT colonography: current status and future.
CARS
(2004)
Janne Näppi
,
Hans Frimmel
,
Abraham H. Dachman
,
Hiroyuki Yoshida
New high-performance CAD scheme for the detection of polyps in CT colonography.
Medical Imaging: Image Processing
(2004)
Janne J. Näppi
,
Hans Frimmel
,
Abraham H. Dachman
,
Hiroyuki Yoshida
Computer-aided detection of polyps and masses for CT colonography.
Medical Imaging: Image Processing
(2003)
Hiroyuki Yoshida
,
Janne J. Näppi
,
Hans Frimmel
,
Abraham H. Dachman
Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features.
Medical Imaging: Image Processing
(2002)
Zhan Zhang
,
Abraham H. Dachman
,
Kenneth R. Hoffmann
Two-dimensional display of CT colon data for rapid polyp detection.
CARS
(2001)
Janne Näppi
,
Abraham H. Dachman
,
P. M. MacEneaney
,
Hiroyuki Yoshida
Computer-aided detection of polyps in CT colonography: evaluation of volumetric features in differentiating polyps from false positives.
CARS
(2001)
Yaseen Samara
,
Martin Fiebich
,
Abraham H. Dachman
,
Kunio Doi
,
Kenneth R. Hoffmann
Automated centerline tracking of the human colon.
Medical Imaging: Image Processing
(1998)