\begin{figure}[htbp]
\centering
  \subfigure[][]{\label{subfig:NC_attention}
  \includegraphics[width=0.17\linewidth]{./images/attention_map_Duration_based_scan_ID_188_slice_nr_25.pdf}}
  \subfigure[][]{\label{subfig:MCI_attention}
  \includegraphics[width=0.17\linewidth]{./images/attention_map_Duration_based_scan_ID_441_slice_nr_25.pdf}}
  \subfigure[][]{\label{subfig:AD_attention}
  \includegraphics[width=0.17\linewidth]{./images/attention_map_Duration_based_scan_ID_884_slice_nr_25.pdf}}
  \\
  \subfigure[][]{\label{subfig:NC_AVG}
    \includegraphics[width=0.17\linewidth]{./images/avg_map_NC_slice_nr_25.pdf}}
  \subfigure[][]{\label{subfig:MCI_AVG}
  \includegraphics[width=0.17\linewidth]{./images/avg_map_MCI_slice_nr_25.pdf}}
  \subfigure[][]{\label{subfig:AD_AVG}
  \includegraphics[width=0.17\linewidth]{./images/avg_map_AD_slice_nr_25.pdf}}


  \caption{Examples of axial cut 25. The first row shows attention maps obtained by Gaussian filtering of the fixation points for three random patients, with NC \protect\subfigref{subfig:NC_attention},  MCI \protect\subfigref{subfig:MCI_attention} and AD \protect\subfigref{subfig:AD_attention}. The second row shows average attention maps for NC \protect\subfigref{subfig:NC_AVG},  MCI \protect\subfigref{subfig:MCI_AVG} and AD \protect\subfigref{subfig:AD_AVG}.}
  \label{fig: attention maps}
\end{figure}