MICCAI-BIA 2015

3rd Workshop on Breast Image Analysis

Program

8:30 Informal Get-Together (room is open)

 

9:00 Opening

 

9:15 Session 1 – Chair: TBA

  1. Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Bram Platel and Nico Karssemeijer. Pectoral muscle surface segmentation in automated 3D breast ultrasound using cylindrical transform and atlas information
  2. Julia Schwaab, Albert Gubern-Mérida, Lei Wang and Matthias Günther. Automatic Assessment of Nipple Position in Automated 3D Breast Ultrasound Images
  3. Joan Massich, Guillaume Lemaitre, Joan Marti and Fabrice Meriaudeau. An optimization approach to segment breast lesions in ultra-sound images using clinically validated visual cues

 

10:30 Coffee Break

 

11:00 Session 2 – Chair: TBA

  1. Neeraj Dhungel, Gustavo Carneiro and Andrew Bradley. Automated Mass Detection from Mammograms using Deep Learning and Random Forest
  2. Eloy García, Arnau Oliver, Yago Diez, Oliver Diaz, Joachim Georgii, Robert Martí and Joan Martí. Comparing regional breast density using Full-Field Digital Mammograms and Magnetic Resonance Imaging: A preliminary study.
  3. Lazaros Tsochatzidis, Anna Karahaliou, Konstantinos Zagoris, Spyros Skiadopoulos, Nikolaos Arikidis, Lena Costaridou and Ioannis Pratikakis. A two-stage SVM-based mammographic CBIR for CADx

 

12:30 – 13:30 Lunch Break

 

13:30 Session 3 – Chair: TBA

  1. Jolanta Mirecka, Erika Denton, Reyer Zwiggelaar and Harry Strange. Random Projections for Mammographic Texture Segmentation and High/Low Risk Classification
  2. Tatyana Ivanovska, Lei Wang, Oliver Gloger, Horst Hahn, Henry Völzke and Katrin Hegenscheid. Sliding Level Set-Based Boundary: Fully Automated Dense Breast Segmentation in Native MR Mammograms
  3. Aimilia Gastounioti, Brad Keller, Meng-Kang Hsieh, Emily Conant and Despina Kontos. Towards a breast-anatomy-weighted parenchymal texture signature for breast cancer risk assessment

 

14:30 Session 4 – Chair: TBA

  1. Hongbo Wu, Cristina Gallego-Ortiz and Anne Martel. Deep Artificial Neural Network Approach to Automated Lesion Segmentation in Breast DCE-MRI
  2. Torsten Hopp, Wagner de Barros Rupp Simioni, Jose Antonio Exposito Perez and Nicole V. Ruiter. Comparison of biomechanical models for MRI to X-ray mammography registration
  3. Anke Meyer-Baese, Joan Massich, Guillaume Lemaitre and Mojdeh Rastgoo. Real-Time Optical Flow with Theoretically Justified Warping Applied to Medical Imaging

 

15:30 Coffee Break

 

16:00 Keynote

  • Laszlo Kovacs (Munich)

 

17:15 Closing Remarks

 

17:30 End

 

 

Poster presentations:

 

Katrin Skerl, Sarah Vinnicombe, Kim Thomson, Denic McLean and Andrew Evans. First step for Computer Aided Diagnosis (CAD) combining Supersonic Shear Imaging (SSI) and ultrasound BI-RADS categories of solid breast lesions

 

Habib Baluwala, Parita Sanghani, Duane Malcolm, Poul Nielsen and Martyn Nash. Comparison of fibroglandular tissue segmentation algorithms in breast MRI

 

Habib Baluwala, Duane Malcolm, Anthony Doyle, Poul Nielsen and Martyn Nash. Breast MRI segmentation using supervoxel classification

 

Dominik Kutra, Martin Bergtholdt, Jörg Sabczynski, Olaf Dössel and Thomas Buelow. Finding Correspondence in Longitudinal Breast MRI Using a Geometric Model

 

Faraz Janan, Michael Brady and Ralph Highnam. RICE: Region of Interest Contrast Enhancement of Mammographic Density Maps

 

Torben Pätz, Markus Harz, Lei Wang, Christina Stöcker, Kathy Schilling, Joseph Colletta, Margrethe Schlooz-Vries, Horst Karl Hahn and Joachim Georgii. Sliding Motion in Breast Deformation Modeling

 

Guillaume Thibault, Alina Tudorica, Aneela Afzal, Stephen Chui, Arpana Naik, Megan Troxell, Kathleen Kemmer, Karen Oh, Nicole Roy, Megan Holtorf, Wei Huang and Xubo Song. Early Prediction of Breast Cancer Therapy Response to Neoadjuvant Chemotherapy through Texture Analysis of DCE-MRI

 

Nikolaos Arikidis, Spyros Skiadopoulos, Anna Karahaliou, Alexandra Kazantzi, Katerina Vassiou, Lazaros Tsochatzidis, Ioannis Pratikakis and Lena Costaridou. Shortest Paths of Mass Contour Estimates in Mammography

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