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Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset.

• Authors : Mutasa, Simukayi; Chang, Peter; Van Sant, Eduardo

Subjects: CNN; Calcifications; DCIS

• Source: Academic Radiology. 27(6)

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Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

• Authors : Ha, Richard; Chin, Christine; Karcich, Jenika

Subjects: Breast MRI; Chemotherapy treatment response; Convolutional neural network

• Source: Journal of Digital Imaging. 32(5)

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Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

• Authors : Ha, Richard; Chang, Peter; Karcich, Jenika

Subjects: CNN; breast cancer risk; breast density

• Source: Academic Radiology. 26(4)

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Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

• Authors : Ha, Richard; Chang, Peter; Mutasa, Simukayi

Subjects: Adult; Aged; Algorithms

• Source: Journal of Magnetic Resonance Imaging. 49(2)

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Bennett lesions in overhead athletes and associated shoulder abnormalities on MRI.

• Authors : Karcich, Jenika¹ (AUTHOR); Kazam, Jonathan K.¹ (AUTHOR); Rasiej, Michael J.¹ (AUTHOR)

Subjects: *SHOULDER abnormalities; *FEMORACETABULAR impingement; *FISHER exact test

• Source: Skeletal Radiology. Aug2019, Vol. 48 Issue 8, p1233-1240. 8p.

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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

• Authors : Ha, Richard; Mutasa, Simukayi; Karcich, Jenika

Subjects: ALGORITHMS; BREAST tumors; CANCER patients

• Source: Journal of Digital Imaging; Apr2019, Vol. 32 Issue 2, p276-282, 7p, 1 Black and White Photograph, 1 Diagram, 1 Chart, 1 Graph

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Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

• Authors : Ha, Richard; Chang, Peter; Mema, Eralda

Subjects: BREAST tumor diagnosis; AUTOMATION; BREAST physiology

• Source: Journal of Digital Imaging; Feb2019, Vol. 32 Issue 1, p141-147, 7p, 1 Color Photograph, 3 Black and White Photographs, 1 Diagram

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

• Authors : Ha, Richard; Chang, Peter; Karcich, Jenika

Subjects: BREAST tumor diagnosis; COMPUTER software; DATABASES

• Source: Journal of Digital Imaging; Dec2018, Vol. 31 Issue 6, p851-856, 6p, 2 Black and White Photographs, 1 Diagram

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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

• Authors : Ha, Richard; Chang, Peter; Karcich, Jenika

• Source: Annals of Surgical Oncology: An Oncology Journal for Surgeons; Oct2018, Vol. 25 Issue 10, p3037-3043, 7p

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Not your typical angioma.

• Authors : Karcich JS; Division of Plastic Surgery, Department of Surgery, Rutgers New Jersey Medical School Newark, NJ.; Parcells AL

• Source: Eplasty [Eplasty] 2015 Jan 12; Vol. 15, pp. ic3. Date of Electronic Publication: 2015 Jan 12 (Print Publication: 2015).Publisher: HMP Global Country of Publication: United States NLM ID: 101316107 Publication Model: eCollection Cited Medium: Print ISSN: 1937-5719

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