Automated centerline tracking of the human colon. - Yaseen Samara; Martin Fiebich; Abraham H. Dachman; Kunio Doi; Kenneth R. Hoffmann (Image Processing, 1998)

Computer-aided detection of polyps in CT colonography: evaluation of volumetric features in differentiating polyps from false positives. - Janne Näppi; Abraham H. Dachman; P. M. MacEneaney; Hiroyuki Yoshida (CARS, 2001)

Two-dimensional display of CT colon data for rapid polyp detection. - Zhan Zhang; Abraham H. Dachman; Kenneth R. Hoffmann (CARS, 2001)

Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features. - Hiroyuki Yoshida; Janne J. Näppi; Hans Frimmel; Abraham H. Dachman (Image Processing, 2002)

Computer-aided detection of polyps and masses for CT colonography. - Janne J. Näppi; Hans Frimmel; Abraham H. Dachman; Hiroyuki Yoshida (Image Processing, 2003)

Region-based supine-prone correspondence for reduction of false positives in CAD of CT colonography. - Janne Näppi; Hans Frimmel; Akihiko Okamura; Abraham H. Dachman; Hiroyuki Yoshida (CARS, 2004)

Evaluation of the effect of CAD on observers' performance in detection of polyps in CT colonography. - Akihiko Okamura; Abraham H. Dachman; N. Parsad; Janne Näppi; Hiroyuki Yoshida (CARS, 2004)

CAD for CT colonography: current status and future. - Hiroyuki Yoshida; Abraham H. Dachman (CARS, 2004)

New high-performance CAD scheme for the detection of polyps in CT colonography. - Janne Näppi; Hans Frimmel; Abraham H. Dachman; Hiroyuki Yoshida (Image Processing, 2004)

Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD. - Kenji Suzuki 001; Lifeng He; Shweta Khankari; Liang Ge; Joel Verceles; Abraham H. Dachman (Computer-Aided Diagnosis, 2007)

Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial. - Kenji Suzuki 001; Mark L. Epstein; Ivan Sheu; Ryan Kohlbrenner; Don C. Rockey; Abraham H. Dachman (ISBI, 2008)

An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results. - Kenji Suzuki 001; Ivan Sheu; Mark L. Epstein; Ryan Kohlbrenner; Antonella Lostumbo; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2008)

A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results. - Kenji Suzuki 001; Ivan Sheu; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2009)

Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. - Kenji Suzuki 001; Mark L. Epstein; Jianwu Xu; Piotr Obara; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2010)

Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography. - Kenji Suzuki 001; Masatoshi Hori; Gen Iinuma; Abraham H. Dachman (Computer-Aided Diagnosis, 2013)

Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. - Kenji Suzuki 001; Mohammadamin Zarshenas; Junchi Liu; Yonghui Fan; Nazanin Makkinejad; Paul Forti; Abraham H. Dachman (SMC, 2015)

ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography. - Kenji Suzuki 001; Abraham H. Dachman (SMC, 2023)