Fish Size Estimation from Instance Segmentation Results Obtained with a Deep Convolutional Network. - Amaya Álvarez-Ellacuria; Ignacio A. Catalán; Jose Luis Lisani; Miquel Palmer (CCIA, 2019)

Supplementary material to "Critically examining the knowledge base required to mechanistically project climate impacts: A case study of Europe's fish and shellfish". - Ignacio A. Catalán; Dominik Auch; Pauline Kamermans; Beatriz Morales-Nin; Natalie V. Angelopoulos; Patricia Reglero; Tina Sandersfeld; Myron A. Peck (UHH-FDR, 2019)

Dataset: Critically examining the knowledge base required to mechanistically project climate impacts: A case study of Europe's fish and shellfish. - Ignacio A. Catalán; Dominik Auch; Pauline Kamermans; Beatriz Morales-Nin; Natalie V. Angelopoulos; Patricia Reglero; Tina Sandersfeld; Myron A. Peck (UHH-FDR, 2019)

On the Importance of Color Pre-Processing for Object Detection in Submarine Images. - Jose Luis Lisani; Ana Belén Petro; Catalina Sbert; Amaya Álvarez-Ellacuria; Ignacio A. Catalán; Miquel Palmer (CCIA, 2022)

Analysis of Underwater Image Processing Methods for Annotation in Deep Learning Based Fish Detection. - Jose Luis Lisani; Ana Belén Petro; Catalina Sbert; Amaya Álvarez-Ellacuria; Ignacio A. Catalán; Miquel Palmer (IEEE Access, 2022)

Leveraging Bounding Box Annotations for Fish Segmentation in Underwater Images. - Josep S. Sánchez; Jose Luis Lisani; Ignacio A. Catalán; Amaya Álvarez-Ellacuria (IEEE Access, 2023)